the relation between firm dividend policy and the
TRANSCRIPT
The Relation between Firm Dividend Policy and the
Volatility of Cash Effective Tax Rates
Matthew Erickson
Virginia Tech
January 2018
This project is adapted from my dissertation. I am deeply grateful to my committee members,
Dan Dhaliwal (deceased), Katharine Drake (chair), Sandy Klasa, and Jeff Yu, for their
encouragement, support, and guidance. Additionally, this project has greatly benefitted from
workshop participants at the University of Arizona, Virginia Tech University, George
Washington University, the University of Georgia, and the Ohio State University. I also
appreciate helpful comments from Nathan Goldman, Shyam Sunder, Erin Towery, and the
Arizona Tax Reading Group. Finally, I am thankful for funding from the University of Arizona’s
Eller College of Management, the American Institute of Certified Public Accountants and
specifically contributors to the Accounting Doctoral Scholars program, and the Charles Koch
Foundation for their dissertation grant initiative.
The Relation between Firm Dividend Policy and the
Volatility of Cash Effective Tax Rates
Abstract:
I examine the relation between a firm’s dividend policy and its strategic tax decisions. I posit that
the capital market pressure associated with paying a dividend leads dividend-paying firms to
seek consistent cash flows. I specifically focus on one component of consistent cash flows, the
volatility of a firm’s cash effective tax rate (ETR), due to the observability, large size, variability,
and periodicity of cash tax payments. Consistent with dividend payments altering a firm’s
strategic tax preferences, I find robust evidence that dividend-paying firms exhibit less volatile
cash ETRs. This evidence comes from both broad tests on wide samples of firms designed to
demonstrate “on average” effects as well as tests on more narrow samples of firms designed to
mitigate endogeneity concerns and demonstrate robustness. Specifically, I find that the volatility
of a firm’s cash ETR is decreasing in its dividend yield, that the volatility of a dividend-initiating
(eliminating) firm’s cash ETR subsequently decreases (increases), and that financial constraint
moderates the negative relation between the volatility of a firm’s cash ETR and its dividend
yield. Importantly, my results hold after employing a wide range of econometric techniques
designed to address endogeneity as well as for firms initiating a dividend in response to the
exogenous shock of the Bush tax cuts. Finally, I also examine specific tax strategies dividend-
paying firms use to help increase the predictability of their cash tax payments. My results
contribute to the literature by examining whether, and how, dividend-paying firms alter their
strategic tax decisions.
JEL Codes: G35; H25; M40; M41; M48
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I. INTRODUCTION
In this study, I examine the relation between a firm’s need for consistent cash flow and its
strategic tax decisions. Specifically, I contend that dividend-paying firms make a strong
commitment to periodically return cash to equity investors and therefore require consistent cash
flows. While firms paying a regular dividend may implement many different strategies to help
support their dividend stream, I specifically focus on dividend-paying firms’ cash tax strategies
due to the observability, large size, extensive variation, and periodicity of cash tax payments. I
argue that, because dividend-paying firms value consistent cash flows, they attempt to reduce the
volatility of their cash tax payments. I test this relation across a broad sample of firms, in more
narrow settings around dividend initiations and eliminations, and in a cross-sectional analysis of
financially constrained firms. Additionally, I validate my findings using a variety of alternate
econometric techniques, examining a subsample of firms initiating a dividend payment in
response to the exogenous shock of the Bush tax cuts, and by exploring specific tax strategies
that dividend-paying firms use to achieve more predictable cash tax payments. My findings are
important to academics since they demonstrate a specific outcome of paying a dividend as well
as identify a reason why some firms might prioritize consistent cash tax payments as a strategic
objective. Likewise, my findings are of interest to policy makers and investors given the recent
trend in legislating firms’ ability to pay dividends.
Extensive evidence supports the idea that dividends are important to investors and that
managers take steps to ensure that dividend payments, once initiated, remain stable or steadily
increase (e.g., Lintner 1956). In a recent New York Times article Dr. Douglas Skinner reiterates
this idea and notes that “ ‘investors look at that record [of dividends], and they count on it…after
a while, the dividend becomes sacrosanct’ ” (Sommer 2016). Indeed, “some executives tell
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stories of selling assets, laying off a large number of employees, borrowing heavily, or bypassing
positive NPV projects, before slaying the sacred cow of cutting dividends” (Brav, Graham,
Harvey, and Michaely 2005, p. 500).
While I expect that dividend policy affects a variety of firm behaviors, I focus on firms’
cash tax strategies for several reasons.1 First, cash taxes paid represent a large, variable expense
and account for 27.0 (25.6) percent of a mean (median) firm’s pre-tax income with an
interquartile range of 25.2 percentage points (Dyreng, Hanlon, and Maydew 2008). Second,
similar to dividends, taxes must be paid in cash at regular, predictable intervals (quarterly) and
accordingly represent a recurring cash outlay that managers may attempt to stabilize. This
predictable periodicity is not present in many other major firm expenses such as capital
expenditures as these tend to be “lumpy” rather than “smooth” (Caballero and Engel 1999).
Finally, while prior research documents that firms manage the level of their GAAP ETRs
(Dhaliwal, Gleason, and Mills 2004; Krull 2004), more recent research examines the
sustainability of tax expense as an important strategic tax goal for some firms (McGuire,
Neuman, and Omer 2013; Neuman 2016).2 Because firms manage their GAAP tax expense in
certain circumstances and sustainability is an important goal for some firms, I expect that
dividend-paying firms also attempt to manage the volatility of their cash tax expense.
While the findings in prior research support the notion that dividend-paying firms should
exhibit less volatile cash ETRs, it is possible that my evidence will not support this contention or
that I will find evidence in favor of an opposite result. Specifically, to the extent that dividend-
1 I focus on the volatility of cash, not GAAP, tax expense since dividends are typically paid in cash and thus cash tax
expense is more relevant to my study. In untabulated analysis, I find that my results are generally robust (but
weaker) when examining the volatility of a firm’s GAAP tax expense. 2 These studies discuss the importance of a firm’s tax strategy in general but do not examine whether dividend
payments influence the firm’s tax strategy. My results help explain why certain firms emphasize a goal of
sustainable tax payments.
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paying firms have easy access to additional cash (e.g., via the public debt market; (Alli, Khan,
and Ramirez 1993; Aivazian, Booth, and Cleary 2006)), they may not attempt to reduce the
volatility of their cash tax payments and may instead focus on minimizing cash tax payments. If
this occurs, I may fail to find (or find a positive relation) between a firm’s dividend payments
and the volatility of its cash ETR.
Despite this tension, I find consistent evidence supporting the expectation that dividend-
paying firms exhibit less volatile cash tax payments. Using a sample of 57,578 observations from
1987 to 2015, I test the association between a firm’s dividend policy and the volatility of its cash
ETR. My results demonstrate a negative relation between the amount of regular, recurring
dividends paid by a firm and the volatility of the firm’s cash ETR. This relation is also
economically significant. My primary test implies that, for my mean firm, a doubling of its
dividend payout is associated with an 11.1% decrease in the volatility of its cash ETR. For
comparison, a doubling of my mean firm’s cash flow volatility is associated with a 17.9%
increase in the volatility of its cash ETR.
Further, I find consistent evidence that firms initiating (eliminating) a dividend payment
experience a subsequent decrease (increase) in the volatility of their cash ETRs; these results
help address endogeneity concerns inherent in the broad, pooled setting of my first specification.
Moreover, my tests demonstrate that firm-level financial constraint moderates the relation
between a firm’s dividend payments and the volatility of its cash ETR, consistent with the notion
that financially constrained dividend-paying firms prioritize obtaining immediate cash. While I
specifically focus on dividend-paying firms, this result builds on prior research demonstrating a
general relation between financial constraint and strategic changes in tax behavior (Akamah,
Omer, and Shu 2016; Edwards, Schwab, and Shevlin 2016).
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In additional analysis, I find that my results are robust to a variety of alternate
specifications designed to help address endogeneity concerns with respect to both correlated,
omitted variables and reverse causality. Specifically, I re-estimate my primary analysis using a
matched sample design, including firm-fixed effects, and employing an instrumental variables
specification. Additionally, I also use the 2003 Bush tax cuts as an exogenous shock to firms’
incentives to pay dividends since prior research demonstrates that firms did not anticipate this tax
cut and it also increased the likelihood that a firm initiated a dividend payment (Chetty and Saez
2005, 2006; Dhaliwal, Krull, and Li 2007). Moreover, I also employ counterfactual analysis
based on both special dividends and share repurchases since I expect that, unlike regular
dividends, special dividends and share repurchases return capital to shareholders without
imposing an expectation of consistent future dividends or repurchases and thus do not generate a
need for less volatile future cash flows.
Finally, I explore several strategies dividend-paying firms may use to help them achieve
less volatile cash ETRs. A firm may use many different types of tax planning strategies ranging
from those that produce completely certain tax benefits (e.g., excluding municipal bond interest)
to those that may produce highly variable tax benefits (e.g., employing tax strategies with a lack
of definitive guidance) (Hanlon and Heitzman 2010). I expect that dividend-paying firms are less
likely to engage in less certain tax strategies as such strategies may be overturned upon audit and
induce volatility in future cash tax payments. I find that, while firms that pay more in dividends
have higher total book-tax differences, they are less likely to engage in “extreme” forms of tax
planning as evidenced by lower discretionary book-tax differences (Frank, Lynch, and Rego
2009) and a lower likelihood of engaging in tax shelters (Wilson 2009).
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My results contribute to the academic literature in several ways. In general, prior research
focuses on why firms pay dividends; I examine a specific outcome of paying a dividend and thus
demonstrate a previously overlooked consequence of dividend payments.3 Additionally, my
results identify a strategic reason why firms might prefer less volatile cash tax payments even at
the potential cost of increasing total tax payments. This contributes to ongoing discussion over
whether and why some firms prefer a sustainable tax strategy (Weisbach 2002; Neuman 2016).
The remainder of my study proceeds as follows: in Section II, I provide background
information on the dividend literature with a specific focus on studies discussing the importance
of dividend payments. In Section III, I develop and formally state my hypotheses. Section IV
contains a summary of my research design. In Section V, I provide a summary of my primary
results. In Section VI, I discuss the results of additional analyses. Finally, in Section VII, I offer
some concluding thoughts.
II. LITERATURE REVIEW
Relevance and Valuation of Dividends
In their seminal analysis of payout policy and firm value, Miller and Modigliani (1961)
observe that, in perfect capital markets, “the irrelevance of dividend policy….is ‘obvious once
you think of it’” (p. 414).4 Early evidence supports this claim (Watts 1973; Black and Scholes
1974; Gonedes 1978; Watts 1976) even in the presence of asymmetric tax treatment between
dividends and capital gains (Miller and Scholes 1978). However, capital market imperfections
3 Bradley, Capozza, and Seguin (1998) represents an important exception; their study finds that dividend-paying
firms exhibit less cash flow volatility. In the next section, I discuss their results in more detail and argue that my
results are distinct from their study across several important dimensions. 4 Miller and Modigliani (1961) condition their claim on the level of a firm’s investment. Given that dividend payout
ratios tend to be conservative, many dividend-paying firms need not trade off investment for higher dividend
payments. However, managers at 66.9 percent of dividend-paying firms make investment plans after making
dividend decisions (Brav et al. 2005). This indicates that, for the majority of dividend-paying firms, dividend policy
supersedes even investment considerations.
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unwind the “irrelevance view” and lead to a variety of theoretical explanations and empirical
support for a relation between dividend policy and firm value. Importantly, in my setting, it is
unnecessary to identify the specific reason dividend payout policy matters to investors as my
hypotheses only assume that managers recognize and act as though dividend policy does matter
to investors.
Investors may value dividends for several reasons. Since dividends reduce the size of a
firm by distributing cash to shareholders, they reduce agency costs by: limiting a manager’s
ability to waste idle cash on value-decreasing investments (Jensen 1986); forcing managers to
more frequently access the capital markets to fund new investments (Myers and Majluf 1984);
and improving shareholder monitoring of firm actions (Easterbrook 1984). Additionally,
dividends reduce information asymmetry between managers and shareholders by allowing
managers to credibly signal current cash flow (Miller and Rock 1985), future cash flow
(Bhattacharya 1979), and/or other valuable private information about future investments (John
and Williams 1985; Aggarwal, Cao, and Chen 2012). Finally, the existence of taxes and tax
clienteles may explain the importance of dividend policy to investors. Since different classes of
investors face different marginal tax rates on income from dividends, firms with a high dividend
yield are less attractive to individuals with a relatively high tax rate on dividend income (e.g.,
short-term, high-income individual investors) and more attractive to individuals with a relatively
low tax rate on dividends (e.g., corporations, tax-exempt investors) (Elton and Gruber 1970;
Litzenberger and Ramaswamy 1979; Dhaliwal, Erickson, and Trezevant 1999; Baker and
Wurgler 2004; Graham and Kumar 2006).
While evidence remains divided concerning why dividend policy should matter to
investors, evidence also clearly demonstrates that dividend policy does matter to investors and
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that managers actively seek to maintain a consistent dividend policy. This is important to my
study because it helps explain why a firm might change its actions to accommodate a specific
dividend payout strategy. Specifically, investors react strongly to changes in dividend policy and
this reaction is asymmetric with dividend decreases resulting in a more extreme reaction than
dividend increases (Asquith and Mullins Jr 1983; Benesh, Keown, and Pinkerton 1984). On
average, market reactions to dividend increases (decreases) are approximately 3 percent (-7
percent) and continue to drift upward (downward) (Michaely, Thaler, and Womack 1995).
Similarly, there is a positive relation between dividend announcement returns and subsequent
earnings changes; this implies that investors rationally interpret dividend announcements as
“good news” (Healy and Palepu 1988; Lipson, Maquieira, and Megginson 1998). Moreover,
dividend reductions are more likely to occur for loss firms. However, demonstrating the
reluctance of managers to cut dividends, losses are “a necessary, but not sufficient, condition for
dividend reductions” and managers strongly attempt to avoid dividend reductions or omissions
even in the presence of losses (DeAngelo, DeAngelo, and Skinner 1992, p. 1838). Collectively,
these studies indicate that investors expect consistency in a firm’s dividend policy and react
strongly to any deviation from their expectation.
Dividend Policy and Strategic Firm Decisions
Prior research also demonstrates that managers understand the importance investors place
on consistent dividends and seek to maintain or gradually increase dividend payout ratios. Early
work by Lintner (1956) finds that managers target a long-term dividend payout ratio and
therefore dividend payments tend to be relatively sticky. This result persists over time; Brav et
al. (2005) survey mangers of dividend-paying firms and find that 88.1 percent of managers
perceive negative consequences to reducing dividends and 89.6 percent try to maintain a
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consistent dividend stream from year to year. Empirical evidence demonstrates this as well.
Allen and Michaely (2003) examine trends in payout policy over time and observe that “during
the entire 1972-1998 period, aggregate dividends fell only twice…Firms usually increase
dividends gradually and rarely cut them” (p. 349). Demonstrating that managers are reluctant to
cut dividends is important in my setting because it provides a plausible explanation for a relation
between dividend payout policy and firm policy – managers may structure firm policy to help
minimize the risk that the firm will decrease or omit future dividend payments.
Existing evidence supports the idea that firm attributes and strategy change in response to
dividend policy. Skinner and Soltes (2011) find that earnings are more persistent for dividend
paying firms and that losses are less persistent. Likewise Venkatesh (1989) finds that stock
returns are less volatile following the initiation of dividends; similarly, Sant and Cowan (1994)
find that dividend omissions precede an increase in earnings volatility, stock return volatility,
beta, and analyst forecast dispersion. Most related to my study is Bradley et al. (1998) who find a
negative relation between dividend payout policy and the volatility of a firm’s cash flows. I
differ from Bradley et al. (1998) in that I examine the volatility of a firm’s cash effective tax rate
and not the volatility of a firm’s cash flow. Additionally, Bradley et al. (1998) limit their analysis
to the REIT sector; I exclude REIT firms from my sample since these firms have unique tax
incentives that limit their generalizability. Finally, to further distinguish my findings, I include
the volatility of a firm’s overall cash flow as a control variable in my regressions.
While these studies provide general evidence that specific firm characteristics change in
response to dividend policy, surveys of managers provide the most persuasive evidence of
dividend policy influencing firm actions. In Brav et al. (2005)’s survey, managers of dividend-
paying firms clearly admit that maintaining a consistent dividend policy influences their actions.
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Specifically, to maintain dividends, managers are willing to pass up positive NPV projects, raise
costly external funds, sell assets, and even terminate employees. I argue that, while it is difficult
to observe these types of extreme actions, it is relatively easy to measure the volatility of a firm’s
cash ETR and that prior literature suggests that managers manage the tax account to achieve
strategic firm objectives (Dhaliwal et al. 2004; Krull 2004; McGuire et al. 2013; Higgins, Omer,
and Phillips 2015; Neuman 2016).
In summary, prior evidence strongly supports the idea that dividend policy matters to
investors, that managers implement sustainable, consistent dividend policies, and that managers
are willing to change a firm’s tax policy to accomplish a strategic objective. Next, I present
specific hypotheses exploring the relation between dividend payout policy and firm tax strategy.
III. HYPOTHESES
Based on the above discussion, I expect that the capital market pressure from paying a
dividend leads dividend-paying firms to take steps to avoid reducing or omitting a dividend
payout. In a recent Wall Street Journal article on the importance of dividends, a Wal-Mart
spokesperson expressed this sentiment by observing that “the company has ‘a meaningful
dividend that has grown for 43 consecutive years…[we] are committed to strong returns for
shareholders’” (Eisen 2016). Similarly, prior studies show that a firm aligns its tax strategy with
its business strategy (Higgins et al. 2015; Neuman 2016). Alignment between tax and business
strategy is especially important because some tax strategies are only available for a single time
period or provide non-recurring tax benefits (Drake, Lusch, and Stekelberg 2017) and,
accordingly, may not increase the consistency of a firm’s cash tax payments on an ongoing basis.
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Thus, I specifically expect that firms alter their tax strategies to decrease the volatility of their
cash tax payments5 and state this relation as my first hypothesis as follows:
H1: There is a negative relation between the volatility of a firm’s cash effective tax rate and
the firm’s dividend yield.
One concern with my first hypothesis is that the relation between dividend payout policy
and tax strategy is endogenous. In particular, not all firms are equally likely to pay a dividend
(Fama and French 2001; Denis and Osobov 2008) and firm characteristics also influence tax
strategies (Gupta and Newberry 1997; Rego 2003; Dyreng et al. 2008; Wilson 2009). Thus, in
my second hypothesis, I examine whether the volatility of a firm’s cash tax payment changes
around the initiation and/or elimination of a dividend.
I expect that, subsequent to the initiation of a dividend, dividend-paying firms attempt to
decrease the volatility of their cash ETR in response to capital market pressure. This is consistent
with Michaely et al. (1995)’s view that initiating a dividend payment represents a substantial
change in corporate policy. I present this contention as the first part of my second hypothesis as
follows:
H2A: The volatility of a firm’s cash effective tax rate decreases following the initiation of a
dividend payment.
Likewise, if the capital market pressure associated with paying a dividend leads a
dividend-initiating firm to decrease the volatility of its cash ETR, then I also expect that the
removal of this pressure is associated with a subsequent increase in the volatility of a firm’s cash
5 While cash tax expense and GAAP tax expense are positively correlated, GAAP tax rules may artificially smooth
the volatility of GAAP tax expense since GAAP tax rates are influenced by reserves for potentially unfavorable tax
outcomes such as settlements with the IRS. Overall, GAAP tax rates measure tax expense associated with current
period accounting income while cash tax rates capture outlays of cash (Hanlon and Heitzman 2010).
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ETR following the elimination of its dividend. I present this contention as the second part of my
second hypothesis as follows:
H2B: The volatility of a firm’s cash effective tax rate increases following the elimination of a
dividend payment.
Importantly, to the extent that managers only consider initiating (eliminating) a dividend
when the firm’s operations and cash flows are less (more) volatile, firms with less (more) volatile
cash ETRs may be more likely to initiate (eliminate) a dividend. If this is true, changes in the
volatility of a dividend initiating (eliminating) firm’s cash ETR may occur prior to the initiation
(elimination) of a dividend. If this occurs, I may fail to find results for my second hypothesis
even if firms change their behavior in response to paying a dividend. Likewise, it is also possible
that firms with less (more) volatile cash ETRs are more likely to pay an initial dividend
(eliminate their dividend) and that (removing) the capital market pressure associated with this
decision incentivizes (de-incentivizes) these firms to further decrease the volatility of their cash
ETRs subsequent to the initiation (elimination) of their dividend. If this occurs, I may find results
for my second hypothesis but “miss” the portion of a firm’s change in behavior that occurs prior
to the change in its dividend policy. While I do not develop a formal hypothesis to address this, I
discuss the design and results of tests examining this possibility in subsequent sections to provide
a more complete understanding of changes in a firm’s behavior in response to initiating
(eliminating) a dividend payment.
Finally, while my first hypothesis postulates a negative relation between the volatility of
a firm’s cash ETR and its dividend payout policy, I expect that financially constrained dividend-
paying firms may focus less on the volatility of their cash ETRs. As previously discussed,
reducing dividends incurs a steep capital market penalty and firms go to great lengths to avoid
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this penalty (DeAngelo and DeAngelo 1990; DeAngelo et al. 1992; Christie 1994; Brav et al.
2005). Additionally, Leone (2008) outlines 16 different tax strategies companies can employ to
generate additional cash while Law and Mills (2015) and Edwards et al. (2016) specifically show
that financially constrained firms reduce short-term tax payments in an attempt to provide
immediate cash. Importantly, Akamah et al. (2016) extends these studies and demonstrates that
financially constrained firms also exhibit more volatile cash ETRs.
While prior research (Law and Mills 2015; Akamah et al. 2016; Edwards et al. 2016)
demonstrates how financial constraint influences the tax strategies of broad samples of firms, the
majority of dividend paying firms are not financially constrained relative to non-dividend paying
firms. Accordingly, I extend this logic to constrained versus unconstrained dividend-paying
firms. In contrast to my second hypothesis which focuses on examining whether dividend
initiating (eliminating) firms alter the volatility of their cash tax payments, my third hypothesis
focuses on the actions of constrained (but not necessarily dividend-ceasing) firms. Consequently,
I propose my third hypothesis as follows:
H3: For dividend-paying firms, financial constraint moderates the negative relation between
the volatility of the firm’s cash effective tax rate and its dividend yield.
In summary, I examine the link between firm dividend policy and the volatility of a
firm’s cash ETR. I hypothesize a negative relation between dividend payouts and the volatility of
cash ETRs, investigate whether this relation changes for dividend initiating or eliminating firms,
and examine whether financial constraint mitigates any negative relation. In the next section, I
present the specific equations I use to test these hypotheses.
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IV. RESEARCH DESIGN
Empirical Design
To test my first hypothesis examining whether dividend-paying firms exhibit less volatile
cash ETRs, I regress the volatility of a firm’s cash effective tax rate on a firm’s dividend payout
as well as a variety of control variables from prior research (Brown, Drake, and Wellman 2015;
Guenther, Matsunaga, and Williams 2017). Specifically, I employ the following equation:
VOL_CETRit-2,t = α + β1 DIVi,t + β2 VOL_CFit-2,t + β3 PT_ROAi,t + β4 VOL_PT_ROAit-2,t
+ β5 SIZEi,t + β6 PP&Ei,t + β7 R&Di,t + β8 LEVi,t + β9 MTBi,t + β10 IND_CETRi,t + β11
CASHi,t + Ʃ Industry and Year Fixed Effects + εi,t (1)
All equations cluster standard errors by firm; subscripts i and t represent firm i at time t.
VOL_CETR is the three-year standard deviation from t-2 to t of the firm’s cash ETR (total taxes
paid divided by pre-tax income less any special items) and captures the volatility of a firm’s cash
tax expense. DIV is the amount of the firm’s per-share dividends divided by its stock price.
Consistent with prior research, I use Compustat to calculate control variables but CRSP to
determine dividends. Specifically, I only include regular, periodic dividends on common stock
(CRSP distribution codes of 1200-1259).6 To the extent that dividend-paying firms exhibit less
volatile cash tax payments, I expect a negative and significant coefficient on DIV across all three
specifications.
I define VOL_CF as the three-year standard deviation from t-2 to t of the firm’s cash flow
from operations scaled by total assets and include it to control for the overall volatility of a
firm’s cash flows. I measure PT_ROA as the firm’s pre-tax net income divided by total assets;
6 Codes 1200-1259 represent ordinary (i.e., not as a result of a liquidation, reorganization, stock split, etc…) cash
dividends paid in U.S. dollars with a monthly, quarterly, semi-annual, annual, unknown, or unspecified frequency.
In additional analysis, I also consider the effect of special dividends (CRSP dividend distribution codes of 1270-
1299) as well as share repurchases (calculated from Compustat/CRSP data but with no specific dividend distribution
code).
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this variable controls for the possibility that more profitable firms may make greater investments
in tax planning. I use pre-tax income to avoid any potential mechanical correlation issues given
that my variable of interest is the volatility of a firm’s cash tax expense. VOL_PT_ROA is the
three-year standard deviation from t-2 to t of the firm’s PT_ROA and serves as an additional
control to capture the overall predictability of a firm’s operations. I measure SIZE as the natural
logarithm of the firm’s total assets and note that this variable captures potential “economies of
scale” with respect to a firm’s ability to engage in tax planning activities. I define PP&E, R&D,
and LEV as the firm’s property, plant, and net equipment, research and development spending,
and total debt respectively; I scale each of these variables by total assets and include them as
they represent deductible or creditable expenses that reduce a firm’s tax payments. MTB is the
ratio of the firm’s market value of equity to its book value of equity and captures differences
between the equity market’s value of a firm and the current accounting book value of a firm.
IND_CETR is the firm’s cash ETR (cash taxes paid divided by pre-tax income less the effect of
any special items) minus the average cash ETR for other firms in the same industry and year.7
CASH is the amount of a firm’s cash and cash equivalents scaled by total assets and controls for
the liquid resources available to a firm for investment in tax planning activities. The appendix
contains a detailed description of all variables.
I test this equation on three sets of firms: all firms with available data; all firms with
available data that are not small firms, firms with extreme cash ETR, or firms with negative pre-
tax income; and only firms paying a positive dividend. In particular, by limiting the third sample
to only firms that pay a positive dividend, I partially address concerns that any relation observed
7 Consistent with prior research, I control for a firm’s industry-adjusted cash ETR to capture the tax planning of the
firm relative to other similar firms (Guenther et al. 2017). In untabulated analysis, I find that my inferences are
unchanged if I control for a firm’s unadjusted cash ETR. As I only adjust cash ETR by industry, it is still appropriate
to include industry fixed effects. My inferences are unchanged if I remove industry fixed effects.
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in my first two samples stems from dividend-paying firms generally exhibiting more
predictability in their operations (i.e., a life cycle effect (Mueller 1972; Porter 1980; Anthony
and Ramesh 1992; Grullon, Michaely, and Swaminathan 2002; Dickinson 2011)).
In the first part of my second hypothesis, I test whether the volatility of a firm’s cash
ETR decreases subsequent to the initiation of a dividend. To test this relation, I isolate a
subsample of firms that begin paying a dividend during my sample period and examine the
volatility of those firms’ cash ETRs during the period immediately before and immediately after
the initiation of the dividend using the control variables from equation (1) as follows:
VOL_CETRit-2,t = α + β1 DIVi,t + β2 VOL_CFit-2,t + β3 PT_ROAi,t + β4 VOL_PT_ROAit-2,t
+ β5 SIZEi,t + β6 PP&Ei,t + β7 R&Di,t + β8 LEVi,t + β9 MTBi,t + β10 IND_CETRi,t
+ β11 CASHi,t + Ʃ Industry and Year Fixed Effects + εi,t (2A)
For this test, I only examine firms that begin paying a dividend at some point during my
sample period; I exclude firms that either always pay a dividend or never pay a dividend. I then
examine the volatility of these firms’ cash ETRs starting three years prior to the initiation of the
dividend and ending three years after the initiation of the dividend. Because, by definition, a firm
does not pay a dividend in the pre-period, my DIV variable does not capture any decreases in the
volatility of a firm’s cash ETR in the pre-period but instead represents the effect of initiating a
dividend payment. Thus, H2A predicts a negative relation between the volatility of the firm’s
cash ETR and the amount of dividends paid by the newly paying dividend firm. Accordingly, I
expect a negative and significant coefficient on DIV.
Likewise, for the second part of my second hypothesis, I examine whether the volatility
of a firm’s cash ETR decreases subsequent to the elimination of a dividend. Similar to the first
portion of my second hypothesis, I isolate a subsample of firms that stop paying a dividend
during my sample period and examine the volatility of those firms’ cash ETRs during the period
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immediately before and immediately after the elimination of their dividend using the control
variables from equation (1) as follows:
VOL_CETRit-2,t = α + β1 DIVi,t + β2 VOL_CFit-2,t + β3 PT_ROAi,t + β4 VOL_PT_ROAit-2,t
+ β5 SIZEi,t + β6 PP&Ei,t + β7 R&Di,t + β8 LEVi,t + β9 MTBi,t + β10 IND_CETRi,t
+ β11 CASHi,t + Ʃ Industry and Year Fixed Effects + εi,t (2B)
Consistent with H2B, I predict that dividend-eliminating firms experience a subsequent
increase in the volatility of their cash ETRs. Because, by definition, DIV is equal to zero once a
firm eliminates its dividend (i.e., in the post-elimination period), an increase in volatiltiy occurs
to the extent that I find a positive and significant coefficient on DIV.
As previously discussed, I am also interested in investigating whether any change in
volatility occurs before, after, or both before and after a firm initiates (eliminates) its dividend. I
test this by examining whether firms with less (more) volatile cash effective tax rates are more
likely to initiate (eliminate) a dividend payment. Since Fama and French (2001) identify several
key factors that explain whether or not a firm begins paying a dividend, I test this by adding
these factors to the control variables included in equation (1) and present this specification as
equation (2C) which employs the following logistic equation:
P(NEW_DIV=1)i,t [P(STOP_DIV=1)i,t]= α + β1 VOL_CETRit-2,t + β2 PT_ROAi,t + β3
MTBi,t + β4 MK_PCTKi,t + β5 AT_GROWTHit-1,t + β6 VOL_CFit-2,t + β7 VOL_PT_ROAit-2,t
+ β8 SIZEi,t + β9 PP&Ei,t + β10 R&Di,t + β11 LEVi,t + β12 IND_CETRi,t + β13 CASHi,t
+ Ʃ Industry and Year Fixed Effects + εi,t (2C)
In this equation, P(NEW_DIV=1)i,t is an indicator variable coded as one if a firm pays a dividend
in the current year but not in either of the two prior years. Alternatively, P(STOP_DIV=1)i,t is an
indicator variable coded as one if a firm does not pay a dividend in the current year but did in
both of the two prior years. MK_PCTL represents the percentage of all publicly traded firms that
17
have the same or smaller market capitalization while AT_GROWTH represents the growth in the
firm’s assets from t-1 to t. All other variables are as previously defined.
Since I am interested in the likelihood that a firm initiates (eliminates) a dividend
payment, I examine a sample of firms that do not (do) pay a dividend when they first enter my
sample. Specifically, I exclude all firms that began (did not begin) continuously paying a
dividend before they entered my sample period. Additionally, once a firm begins (ceases) paying
a dividend, I remove it from the sample for all subsequent years.
I test this equation on three samples of firms; all firms with available data, a sample of
dividend initiating (eliminating) and non-dividend initiating (eliminating) firms in the same
industry and year matched by size and profitability, and an entropy-balanced sample of all firms
with available data (Hainmueller and Xu 2013).8 While I do not make a formal prediction, I note
that, if the volatility of a firm’s cash ETR changes before initiating (eliminating) a dividend
payment, I should observe a negative (positive) and significant coefficient on VOL_CETR.
Finally, my third hypothesis tests whether financially constrained dividend-paying firms
exhibit relatively more volatile cash ETRs as compared to financially unconstrained dividend-
paying firms. To test this hypothesis, I isolate a sample of dividend-paying firms and add an
interaction variable for financial constraint to equation (1) as follows:
8 Entropy balancing “can be used to create balanced samples…where the control group data can be reweighted to
match the covariate moments in the treatment group (Hainmueller and Xu 2013).” Specifically, one concern with
analyzing equation (2C) on a broad sample of firms is that the control sample contains firms with disperse
characteristics. An entropy-balanced sample addresses this concern by re-weighting the control variables such that
they are similar for dividend initiating (eliminating) and non-dividend initiating (eliminating) firms. One advantage
of entropy balancing relative to a matched sample design is that it does not discard “non-matching” observations. In
untabulated analysis, I also re-estimate equation (1) on my primary sample using entropy balancing and find that my
inferences remain unchanged. I do not tabulate this analysis because I also run equation (1) on a sample of only
firms with positive dividend-payments which eliminates the need to control for potential differences between
dividend-paying and non-dividend-paying firms.
18
VOL_CETRit-2,t = α + β1 DIVi,t + β2 CONSTRAINi,t + β3 DIVi,t * CONSTRAINi,t
+ β4 VOL_CFit-2,t + β5 PT_ROAi,t + β6 VOL_PT_ROAit-2,t + β7 SIZEi,t + β8 PP&Ei,t
+ β9 R&Di,t + β10 LEVi,t + β11 MTBi,t + β12 IND_CETRi,t + β13 CASH
+ Ʃ Industry and Year Fixed Effects + εi,t (3)
I use Z_SCORE, the firm’s Z-score following Altman (1968), to determine financial constraint. I
multiply a firm’s Z-Score by negative one so that higher values of Z_SCORE represent relatively
greater financial constraint.9 CONSTRAIN is a dummy variable set equal to one if a dividend-
paying firm’s Z_SCORE is in the top half for all dividend-paying firms. Consistent with my first
hypothesis, I expect a negative coefficient on DIV. This implies that the volatility of a firm’s
cash tax payments is decreasing in its dividend payments. Conversely, I expect a positive a
significant coefficient on the interaction of DIV * CONSTRAIN which implies that financial
constraint moderates the general decrease in the volatility of cash tax payments from dividend
payments.
Sample Selection and Characteristics
For my primary tests, I begin with a sample of all Compustat firms with a non-missing
primary identifier (GVKEY), positive assets, and a post SFAS 95 (post 1987) statement of cash
flows. I eliminate firms in either the utility (SIC codes 4900-4999) or financial services (SIC
codes 6000-6999) industries as these firms are heavily regulated and have different incentives.
Since I examine the three-year volatility of a firm’s cash ETR, I also remove firm-years for firms
without two consecutive previous years of data. I also remove firm-years for firms missing
9 I select this measure of financial constraint because it does not rely on whether a firm pays a dividend to compute
the degree of firm financial constraint. Other techniques such as those developed in Whited and Wu (2006) or the
KZ-index as proposed by Kaplan and Zingales (1997) and implemented in Lamont, Polk, and Saá-Requejo (2001)
use dividend payments to partially determine whether a firm is financially constrained. In contrast, I focus on
whether a dividend-paying firm is relatively constrained as compared to other dividend-paying firms.
19
information necessary to calculate variables of interest or control variables. Further, I remove
firm-years with extreme cash ETRs (single-year cash ETRs greater than 1 or less than 0) as these
firms exhibit abnormal tax behavior.10 Additionally, I remove firm-years for small firms as
defined by Fama and French (2001) (those with total assets of less than $500,000 or with book
equity less than $250,000) since these firms likely face a different set of tax planning
opportunities relative to larger firms. Finally, I remove firm-years for firms with a three-year
cumulative loss as loss firms exhibit different tax behavior. This results in a final sample of
57,578 firm-year observations. I summarize my sample selection process in Table 1.
[Insert Table 1 Here]
I present descriptive statistics in Table 2; these align well with prior research.
Approximately 37% of firm-years in my sample pay a dividend and the average VOL_CETR is
18.89%.
[Insert Table 2 Here]
Similarly, in Table 3, I provide a correlation matrix for key variables of interest. While
this is a univariate analysis, I note a negative correlation between DIV and VOL_CETR (p<0.01),
indicating that dividend-paying firms exhibit less volatile cash ETRs. Additionally, there is a
positive correlation between VOL_CETR and both VOL_CF (p<0.01) and VOL_PT_ROA
(p<0.01). This further underscores the need to control for the general volatility of the firm. Next,
I turn to a formal analysis of my hypotheses.
[Insert Table 3 Here]
10 In untabulated analysis, I winsorize cash ETRs at 0 and 1 and find that my inferences are unchanged.
20
V. RESULTS
In Table 4, I present the result of testing my first hypothesis that there is a negative
relation between the volatility of a firm’s cash ETR and the firm’s dividend yield. I employ three
specifications examining the relation between DIV and VOL_CETR. The first column contains
the result for a sample prior to the elimination of small firms, firms with extreme cash ETRs, and
loss firms.11 In the second column, I provide the result with respect to my primary sample that
excludes these small, extreme cash ETR, or loss firms. The third column contains the result for
only the sample of firms that pay a positive dividend.12 Consistent with my expectation, in all
three cases I note a negative and significant relation between dividend payments and the
volatility of a firm’s cash ETR (p<0.01 in all three specifications).13 This implies that firms
paying higher dividends exhibit less volatile cash ETRs.
[Insert Table 4 Here]
Next, I examine the result of my second hypothesis exploring the change in the volatility
of a dividend-initiating (ceasing) firm’s cash ETR. Before I discuss these results in detail, I graph
the average volatility of a firm’s cash ETR from five years prior to an event date (either the
initiation or the elimination of a dividend) until five years after the event date.14 In Panel A of
Figure 1, I present the result of graphing the volatility of my mean dividend-initiating firm’s cash
ETR before and after the initiation of a dividend. For ease of interpretation, I also include a solid
11 In general, I exclude these firms from my analyses. However, I include them in the first column of Table 4 to
demonstrate the result of my first hypothesis on a broad sample of firms. 12 To further demonstrate that my results hold even when only examining dividend-paying firms, in untabulated
analysis I drop all non-dividend paying firms as well as the bottom half of dividend-paying firms and find that my
inferences are unchanged. 13 In untabulated analysis, I also employ quantile regression to test for non-linearity in this relation. I examine my
relation at the 25th, 50th, and 75th quantiles and find similar inferences as in my primary specification. The pattern of
coefficients from this analysis does not suggest non-linearity in my primary results. 14 To provide stronger identification, my tests only use a three-year window surrounding the event date. However, I
graph a five-year window to provide better insight into any long-term patterns. My formal tests are robust to
employing a five-year window instead of a three-year window.
21
line representing the volatility of my mean dividend-initiating firm’s cash ETR at t -5, five years
before the initiation of a dividend. In four out of five years preceding the initiation of a dividend,
the average volatility of a dividend-initiating firm’s cash ETR is the same or higher than the
volatility at t -5. In contrast, in all five years following the initiation of a dividend, the average
volatility of a dividend-initiating firm’s cash ETR is lower than the volatility at t -5. This
indicates that, on average, the volatility of a dividend-initiating firm’s cash ETR declines
subsequent to the initiation of a dividend.
Similarly, in Panel B of Figure 1, I present the result of graphing the volatility of my
mean dividend-eliminating firm’s cash ETR before and after the cessation of a dividend. As in
Panel A, I also include a solid line representing the average volatility of my mean dividend-
eliminating firm’s cash ETR at t = -5, five years before the elimination of a dividend. In general,
the volatility of a dividend-eliminating firm’s cash ETR remains relatively consistent prior to t =
0, the year in which the firm eliminates its dividend payment. In contrast, in all five years
following the cessation of a dividend, the average volatility of a dividend-eliminating firm’s cash
ETR is higher than in the pre-elimination period. This indicates that, on average, the volatility of
a dividend-eliminating firm’s cash ETR increases subsequent to the elimination of a dividend.
While these graphs are not a formal test of my second hypothesis, they provide preliminary
evidence consistent with my expectations.
[Insert Figure 1 Here]
In Table 5, Panel A, I provide the result of testing the first part of my second hypothesis
that dividend-initiating firms experience less volatile cash ETRs after initiating their dividend.
To test this, I isolate only those firms that begin paying a dividend at some point during my
sample period and examine these firms for a period of three years prior to the initiation of a
22
dividend until three years following the initiation of a dividend. I then estimate equation (2A)
and examine whether dividend-paying firms exhibit less volatile cash ETRs subsequent to the
initiation of a dividend. Since I use the period immediately before and immediately after the
initiation of a dividend, any effect I find in this test is incremental to managers’ efforts to
decrease the volatility of cash tax payments prior to the initiation of a new dividend. I find results
consistent with the first part of my second hypothesis that dividend-initiating firms exhibit less
volatile cash ETRs after the initiation of a dividend (p<0.05).
Likewise, in Table 5, Panel B, I present the result of testing the second portion of my
second hypothesis. Similar to Panel A, I isolate only those firms that cease paying a dividend at
some point during my sample period and examine these firms for a period of three years prior to
the elimination of their dividend until three years after the elimination of their dividend. I then
estimate equation (2B) and examine whether dividend-eliminating firms exhibit more volatile
cash ETRs subsequent to the cessation of their dividend payment. I find results consistent with
the second part of my second hypothesis that dividend-eliminating firms exhibit more volatile
cash ETRs after the elimination of their dividend (p<0.01).
Finally, in Table 5, Panel C, I provide the results of examining whether dividend
initiating (eliminating) firms alter their tax behavior prior to the initiation (elimination) of their
dividend. To test this relation using equation (2C), I first remove all firms that already pay (do
not pay) a dividend when they enter my sample. Additionally, once a firm begins (stops) paying
a dividend, I remove all subsequent (but not preceding) firm-year observations for that firm.
Thus, my sample only contains those firms that either never (always) pay a dividend or those that
initiate (eliminate) a dividend payment at some point in my sample. Additionally, in contrast to
the majority of my tests where the coefficient on DIV is the primary coefficient of interest, in this
23
test I focus on the coefficient on VOL_CETR since it examines whether firms with less (more)
volatile cash tax payments are more likely to initiate (eliminate) a dividend.
The first three columns contain the result of this analysis for the sample of dividend
initiating firms. In the first column examining the full sample of firms with available data, I find
evidence that firms with less volatile cash ETRs are more likely to initiate a dividend (p<0.10).
However, in the second and third columns examining a matched sample of dividend-initiating
and non-dividend-initiating firms and an entropy-balanced sample of all firms, I find no evidence
of a relation between the volatility of a firm’s cash ETR and the likelihood that it initiates a
dividend payment.
I present results with respect to dividend eliminating firms in the fourth, fifth, and sixth
columns. The fourth column contains the result of examining the full sample of firms with
available data; I find evidence that firms with more volatile cash ETRs are more likely to
eliminate a dividend (p<0.01). However, in the fifth and sixth columns examining a matched
sample15 and an entropy-balanced sample respectively, I find only limited evidence of a relation
between the volatility of a firm’s cash ETR and the likelihood that it eliminates a dividend
payment. Specifically, in the fifth column the coefficient on VOL_CETR is not statistically
significant at the 10% level; however, in the sixth column, the positive coefficient on
VOL_CETR is statistically significant (p<0.05).
15 Dividend-eliminations are extremely rare events and are substantially more rare than dividend initiations. Due to
the small sample size (170 firm pairs), the matched sample analysis for dividend eliminations does not converge
when I include year and industry fixed effects. When I remove fixed effects from the equation, I obtain convergence
and thus report results without any fixed effects for this specification.
24
Collectively, these results fail to indicate consistent evidence that managers attempt to
decrease (increase) the volatility of cash tax payments prior to initiating (eliminating) a dividend.
Additionally, generally failing to find results in these specifications also partially addresses
endogeneity concerns with respect to reverse causality. However, the results in Table 5, Panels A
and B provide strong and consistent evidence that, once initiated (eliminated), the volatility of
these firms’ cash ETRs decreases (increases). Collectively, I interpret these findings as evidence
that managers seek to decrease the volatility of a firm’s cash tax expense in the presence of a
dividend payment.
[Insert Table 5 Here]
Table 6 contains the result of testing my third hypothesis. I find evidence that, relative to
financially unconstrained dividend-paying firms, financially constrained dividend-paying firms
exhibit a less negative relation between the volatility of their cash ETR and their dividend
payment. Specifically, I find that the interaction of dividend payments and financial constraint is
positive and significant (p<0.01). When combined with my previously reported results, this
result suggests that the volatility of a firm’s cash ETRs is decreasing in its dividend payment.
However, when a dividend-paying firm is relatively more financially constrained, this relation
weakens (becomes relatively less negative). I interpret this as evidence of financially constrained
dividend-paying firms prioritizing sustaining their dividend payment at the partial expense of the
long-term volatility of their cash tax expense.
[Insert Table 6 Here]
25
VI. ADDITIONAL ANALYSES
Tests Addressing Endogeneity
While my primary findings support my hypotheses, one important concern is that the
endogenous nature of firm dividend policy and firm tax strategy may drive my findings. In this
section, I explicitly address endogeneity concerns and perform a variety of tests to strengthen the
inferences I draw from my primary tests. Specifically, I employ three alternate econometric
techniques designed to mitigate endogeneity concerns and present the results of these tests in
Table 7.
I begin by re-estimating equation (1) on a sample of dividend-paying firms and a matched
control sample of non-dividend-paying firms of comparable size and profitability and in the
same industry and year.16 A matched sample design helps alleviate the concern that, on average,
dividend-paying firms are larger and more profitable than non-dividend-paying firms and that
larger, more profitable firms implement different types of tax planning strategies and thus exhibit
less volatile cash ETRs. I present the result of this test in the first column of Table 7 and continue
to find a negative and significant relation between the amount of dividends paid by a firm and
the volatility of a firm’s cash ETR (p<0.01).
Alternatively, I re-estimate equation (1) on my primary sample and include firm-fixed
effects. Firm-fixed effects control for unobserved, time-invariant characteristics of a firm and
help mitigate the concern that dividend-paying firms tend to be large, stable firms. I present this
16 Specifically, for each dividend-paying firm-year I match 1:1 without replacement a control firm-year in the same
SIC 2-digit industry and year. From this pool of potential matches, I select the firm-year with the closest mix (evenly
weighted) of size and profitability with a maximum acceptable difference of +/- five percent on each of these
categories. This matching procedure yields a sample of 8,700 firm-year pairs (17,400 firm-year observations).
26
result in Table 7, column two, and continue to find a negative and significant relation between
the amount of dividends paid by a firm and the volatility of a firm’s cash ETR (p<0.01).17
Finally, I employ a two-stage least squares instrumental variables specification to
estimate a modified form of equation (1). I select the firm’s sales growth as my instrument as this
variable is uncorrelated with the volatility of a firm’s cash ETR but negatively correlated with
the probability that a firm pays a dividend.18 An instrumental variables specification helps
address endogeneity by developing a predicted value for a firm’s dividend payments that should
be uncorrelated with my error term (the first-stage regression) and then regressing the volatility
of a firm’s cash ETR on the predicted value of dividend payments as well as control variables
(the second-stage regression). Table 7, column three contains the result of this test; I find a
negative and significant relation between the predicted dividends paid by a firm and the volatility
of a firm’s cash ETR (p<0.01). Collectively, these tests demonstrate that my results are robust to
a variety of alternate econometric specifications designed to mitigate concerns with respect to
endogeneity.
[Insert Table 7 Here]
Additionally, I employ analysis of an exogenous shock as well as counterfactual analysis
to help further address endogeneity concerns. Koo, Ramalingegowda, and Yu (2016) employ a
conceptually similar approach by using SEC rule changes as an exogenous shock to financial
17 In general, I also find that my inferences are unchanged when including firm-fixed effects in equations (2C) and
(3). However, due to the short time series used in equations (2A) and (2B), I find that, when including firm-fixed
effects, my results are directionally consistent but not statistically significant unless I use a five-year window on
either side of a dividend initiation or elimination instead of a three-year window. When I use a longer window, I
continue to find statistically significant results even when including firm-fixed effects. I attribute the lack of
statistical significance when examining a three-year window to not having a sufficient number of observations (and
therefore variation) per firm to detect an effect in the presence of firm fixed effects. 18 I select sales growth in part because taxes are based on income, not revenue, and thus a change in sales should be
less related than a change in pre-tax income to a firm’s cash tax payments. Additionally, to the extent that additional
sales do not change a firm’s tax planning opportunities, they should be unrelated to the volatility of a firm’s cash
ETR. I do not tabulate the first stage of my IV procedure but this is available upon request.
27
reporting quality and demonstrating that firms with better financial reporting quality pay higher
dividends. I rely on prior research that identifies the 2003 Bush tax cuts as an unexpected shock
to firms given that these tax cuts were unanticipated and that their final passage was uncertain
(Brown, Liang, and Weisbenner 2007; Dhaliwal et al. 2007; Campbell, Chyz, Dhaliwal, and
Schwartz Jr. 2013).19 Further, prior research also demonstrates that, relative to preceding years,
an abnormally large number of firms began paying dividends following the passage of these tax
cuts (Chetty and Saez 2005, 2006). Additionally, the Bush tax cuts did not change the corporate
tax rate and thus there is no mechanical relation between their passage and changes in the
volatility of firms’ cash ETRs.20 Accordingly, I use the setting of the Bush tax cuts to address
endogeneity concerns by examining a sample of firms that suddenly and unexpectedly initiated a
dividend payment.
To use the Bush tax cuts as an exogenous shock in my setting, I isolate a subsample of
only those firms that started paying a dividend in either 2003 or 2004. I then examine a three-
year window on either side of the Bush tax cuts and test whether firms that began paying a
dividend in response to the Bush tax cuts subsequently exhibit more predictable cash ETRs.21
Additionally, while my dividend payout variable only captures regular dividends, many firms
also paid a special (one-time) dividend in response to the Bush tax cuts. I create an additional
variable, SPEC_DIV, equal to the amount of special dividends paid by the firm divided by its
19 Specifically, the bill containing these tax cuts, the Jobs and Growth Tax Relief Reconciliation Act of 2003, passed
in the House of Representatives with 53.6 percent of the vote (231-200). The vote in the Senate ended in a 50-50 tie.
Vice President Dick Cheney broke the tie in favor of passing this bill. 20 The Bush tax cuts allowed firms to claim more generous depreciation deductions; I control for any potential
impact of these provisions by including a firm’s PP&E intensity as a control variable. Further, if a firm uses these
provisions to decrease its cash ETR, this would, ceteris paribus, be associated with a more volatile cash ETR and
thus bias against finding a decrease in the volatility of a dividend-initiating firm’s cash ETR. 21 In untabulated analysis, I examine the year prior to the Bush tax cuts and use a t-test to examine the average cash
ETR volatility for firms that initiated a dividend in response to the Bush tax cuts and a matched sample of non-
dividend-initiating firms based on industry, size, and profitability. I fail to find a statistically significant difference in
the average cash ETR volatility of these two groups.
28
stock price, and analyze whether firms paying a special dividend also exhibit less volatile cash
ETRs.22 I then re-estimate equation (2A) on this sample and expect that regular, but not special,
dividends initiated in response to the Bush tax cuts are associated with less volatile cash ETRs as
I expect that only regular dividends generate capital market pressure to decrease the volatility of
a firm’s cash ETR.
I find evidence consistent with this expectation and report this result in the first column
of Table 8. Regular dividend payments initiated in response to the 2003 Bush tax cuts are
negatively related to the subsequent volatility of a firm’s cash ETR (p<0.05). In contrast, special
dividends exhibit no statistically significant relation to the volatility of a firm’s cash ETR.23
Building on the idea that there no relation between special dividend payouts and the
volatility of a firm’s cash ETR, I also examine the relation between share repurchases and the
volatility of a firm’s cash ETR. To the extent that managers view both share repurchases and
special dividends as non-recurring events, I expect that managers will not respond to them by
attempting to decrease the volatility of a firm’s cash tax payments. To test this assertion, I
examine my primary sample of dividend-paying and non-dividend-paying firms and re-estimate
equation (1) with the inclusion of an additional explanatory variable, REP. I define this variable
as the per-share amount of a firm’s stock repurchases divided by its stock price.24
The second column of Table 8 contains the result of this test. I continue to find a negative
relation between dividend payments and the volatility of the firm’s cash ETR (p<0.01); however,
22 I classify a dividend as a special dividend if the distribution code from CRSP is between 1270 and 1299 inclusive.
Codes 1270-1299 represent ordinary (i.e., not as the result of a liquidation, reorganization, stock split, etc…) cash
dividends paid in U.S. dollars with an extra, special, interim, or non-recurring frequency. 23 Additionally, I use an F-test to evaluate whether the coefficients on DIV and SPEC_DIV are different from each
other and find that this is the case (p<0.01). 24 Specifically, I follow Fama and French (2001)’s definition of stock repurchases as the annual change in a firm’s
treasury stock. If this amount is not available or it is less than 0, I define stock repurchases as the difference between
purchases and sales of common stock.
29
I fail to identify a statistically significant relation between the amount of stock repurchases made
by the firm and the volatility of the firm’s cash ETR.25 I interpret this as evidence that regular
dividends, but not share repurchases, are associated with less volatile cash tax payments.
[Insert Table 8 Here]
Tax Strategies Used by Dividend-Paying Firms
While my previous tests support the idea that dividend payments decrease the volatility
of firms’ cash tax expense, they do not explore how firms might accomplish this objective. In
this section, I examine several tax strategies firms may use to decrease the volatility of their
future cash tax expense. In general, I contend that relatively more aggressive forms of tax
planning are more uncertain and more volatile (Inger 2014; Saavedra 2015). Thus, I expect that
firms paying relatively more in dividends engage in relatively less of these types of tax strategies
as they do not align with the strategic objective of decreasing the volatility of future tax cash
flows.
In Table 9, I examine three specific tax strategies. I begin by examining the amount of a
firm’s book-tax differences, BTD, a proxy for total tax planning (Mills 1998). Further, because I
am interested in the tax planning activities of dividend-paying firms, I restrict my sample to only
firms that pay a dividend. If dividend-paying firms actively manage their cash ETR to decrease
its volatility, I expect that this behavior is associated with higher overall amounts of tax planning
and thus higher book-tax differences.
I also examine two specific proxies for aggressive tax planning. First, I use DTAX, the
amount of discretionary book-tax differences as defined by Frank et al. (2009). In contrast to
total book-tax differences, higher discretionary book-tax differences imply that a firm engages in
25 As in the first column, I use an F-test to evaluate whether the coefficients on DIV and REP are different from each
other and find that this is the case (p<0.01).
30
more aggressive tax planning strategies (Desai and Dharmapala 2006; Frank et al. 2009; Chen,
Chen, Cheng, and Shevlin 2010). As in my test examining BTD, I limit my sample in this test to
firms that pay a dividend. Second, I use SHELTER, the probability that a firm engages in a tax-
shelter per Wilson (2009). Tax shelters represent an extremely aggressive (and potentially
illegal) form of tax planning (Wilson 2009; Lisowsky 2010; Lisowsky, Robinson, and Schmidt
2013). I argue that both of these metrics represent aggressive forms of tax planning that may be
disallowed upon audit thus resulting in a more volatile cash ETR. Additionally, in this test, I also
examine the difference between dividend-paying and non-dividend paying firms by matching my
sample of dividend paying firms to a sample of otherwise similar non-dividend-paying firms
based on industry, year, and size. If dividend-paying firms avoid aggressive forms of tax
planning, I expect that they exhibit lower discretionary book-tax differences as well as a lower
likelihood of engaging in a tax shelter.
I find results consistent with these expectations. Specifically, in the first column of Table
9, I find a positive and significant relation between the amount of dividends a firm pays and total
book-tax differences (p<0.01). This suggests that dividend-paying firms do no forego all types of
tax planning activities. However, in the second and third columns, I find a negative and
significant relation between the amount of dividends a firm pays and two measures of aggressive
tax planning: discretionary book-tax differences (p<0.10) and the probability that a firm engages
in a tax shelter (p<0.01). Collectively, I interpret these results as evidence that dividend-paying
firms select specific tax strategies designed to provide long-term, predictable cash tax benefits
and avoid highly aggressive tax strategies that tend to be uncertain.
[Insert Table 9 Here]
31
Relative Importance of Dividend Payments
In untabulated analysis, I re-estimate my primary specification examining the relation
between the volatility of a firm’s cash ETR and its dividend payments based on standardized
coefficients. Specifically, I standardize all variables to have a mean of zero and a standard
deviation of one. This permits a direct comparison on the relative importance of my proposed
determinants of the volatility of a firm’s cash ETR. I then re-estimate equation (1) and rank all
variables by the absolute magnitude of the resulting coefficient. Out of the eleven proposed
determinants, I find that the firm’s dividend payments are the fifth most important factor. In
order, PT_ROA, VOL_PT_ROA, SIZE, and IND_CETR have a larger coefficient than the
coefficient on a firm’s dividend payment. In contrast, VOL_CF, PP&E, MTB, R&D, LEV, and
CASH have a smaller coefficient than the coefficient on a firm’s dividend payment.26 While I do
not have an ex-ante expectation as to the relative importance of a firm’s dividend payments in
explaining the volatility of a firm’s cash ETR, this analysis implies that it is important to
consider a firm’s dividend policy as this variable appears to be of similar or greater importance
than many variables commonly used to explain the volatility of a firm’s cash ETR.
Dividend Payments and the Level of a Firm’s Cash ETR
Additionally, in untabulated analysis, I re-estimate my primary specification examining
the relation between the volatility of a firm’s cash ETR and its dividend payments but substitute
the average three-year level of a firm’s cash ETR instead of the volatility of its three-year cash
ETR. To the extent that less volatile cash ETRs also imply lower mean cash ETRs, dividend-
26 I also test whether dividend yield is statistically different in absolute magnitude from the other determinants
included in this specification. I find that dividend yield is significantly smaller in absolute magnitude than
IND_CETR and all other variables of higher importance (p<.01), not statistically different in absolute magnitude
than VOL_CF, and significantly greater in absolute magnitude than PP&E and all other variables of lower
importance (p<.01).
32
paying firms may attempt to increase firm value by reducing their average cash tax burden rather
than attempt to decrease the volatility of their cash tax payments (Smith and Stulz 1985; Nance,
Smith, and Smithson 1993; Graham and Smith 1999). However, in contrast, it is also possible
that there is no relation between the volatility of a firm’s cash ETR and the level of its cash ETR
and thus no association between dividends and levels of cash ETR (Graham and Rogers 2002;
Guenther et al. 2017; Guenther, Wilson, and Wu 2016). In my setting, I fail to identify a relation
between the amount of dividends a firm pays and the level of its cash ETR. Thus, my results are
consistent with the idea that dividend-paying firms seek less volatile cash payments but not
necessarily lower cash tax payments.
Alternate Specifications
Finally, in untabulated analysis, I also examine a variety of alternate variable definitions
and model specifications. First, I note that, in my primary analysis, I use a one-year measure for
a firm’s dividend payments but a three-year measure for the volatility of a firm’s cash ETR.
Thus, if a firm changes its dividend policy and tax strategy in time t, my measure of dividends
immediately captures this change but my measure of the volatility of the firm’s cash ETR only
captures approximately one-third of this change. I re-estimate my primary tests using the average
amount of dividends paid by the firm over three years and I find consistent results. Second, I
acknowledge that managers may focus on dividends per share instead of dividend yield.
Accordingly, I re-estimate my primary tests using the firm’s per-share amount of dividends
instead of its dividend yield and, in untabulated analysis, I find consistent results. Third, I
recognize that paying a dividend represents a strong commitment to capital market participants
to continue paying a dividend and that tax strategies may take several years to implement.
Accordingly, I perform my analyses using five-year measures of cash ETR volatility and
33
dividends and find that my inferences remain unchanged. Fourth, while prior literature generally
scales tax payments by pre-tax income, this specification makes it difficult to draw inferences
from loss firms as well as introduces potential denominator effects. To partially address this
issue, I re-test my primary specifications and scale total cash tax payments by total assets and
find that my inferences remain unchanged. Fifth, mechanically volatility has a fixed, finite lower
bound at zero but, theoretically, an infinite upper bound; accordingly, attempts to reduce
volatility likely suffer from diminishing marginal returns. In addition to previously discussed
quartile analysis, I re-test my primary specifications after ranking firms by the volatility of their
cash ETR and eliminating the bottom (and, alternatively, the top and bottom) ten-percent of firm-
years. I find that my inferences remain unchanged. Sixth, prior literature finds that the cash tax
benefit associated with employee stocks options significantly impacts the volatility of a firm’s
cash tax expense (Brown et al. 2015; Guenther et al. 2017). Since this variable is not reliably
populated, especially early in my sample period, I do not include it in my primary analysis.
However, my inferences remain unchanged if I include this variable in my analysis.27 Seventh, as
another way to differentiate my findings from those of Bradley et al. (1998) I partition my
primary sample on the volatility of a firm’s overall cash flows. I find that my inferences remain
unchanged in both the low cash flow volatility and the high cash flow volatility subsamples.
VII. CONCLUSION
Dividend payments are extremely important to capital market participants and the subject
of extensive academic research. In this study, I add to prior literature by identifying the relation
between dividend payments and a specific firm strategy, the volatility of a firm’s cash tax
27 This is true whether I assign missing values of the employee stock expense variable a value of 0 or whether (at the
cost of a large portion of my sample) I restrict my sample to only observations with a non-zero value for this
variable.
34
expense. I find a negative relation between the amount of dividends a firm pays and the volatility
of its cash tax expense. This result holds across a wide range of settings including alternate
econometric specifications designed to mitigate endogeneity concerns as well when examining
the effect of the exogenous shock to dividend incentives of the 2003 Bush tax cuts.
Additionally, I find strong evidence that the volatility of a firm’s cash ETR decreases
(increases) after the initiation (elimination) of a dividend payment. Moreover, I find that, for
dividend-paying firms, relative financial constraint moderates the negative relation between a
firm’s dividend payments and the volatility of its cash ETR. Finally, I find that, while dividend-
paying firms engage in more overall tax planning, this planning tends to focus on strategies that
are relatively less aggressive.
My results contribute to the literature in several ways. I demonstrate a link between
dividend payments and a specific firm strategy, the volatility of a firm’s cash ETR. I also extend
the literature examining why some firms may choose to pursue a tax strategy focused on
sustainability and volatility. Finally, I contribute to ongoing public policy debates by
highlighting a benefit of dividend payments – these payments are associated with less volatile
future cash tax payments. Such a finding is especially timely given the large number of recent
proposals designed to either incentivize or de-incentivize dividend payments.
35
REFERENCES
Aggarwal, R., J. Cao, and F. Chen. 2012. Information environment, dividend changes, and
signaling: Evidence from ADR firms. Contemporary Accounting Research 29 (2):403-
431.
Aivazian, V., L. Booth, and S. Cleary. 2006. Dividend smoothing and debt ratings. Journal of
Financial and Quantitative Analysis 41 (2):439-453.
Akamah, H., T. Omer, and S. Shu. 2016. Financial constraints, cash tax savings and tax outcome
variability: Working Paper, University of Nebraskas.
Allen, F., and R. Michaely. 2003. Payout Policy. 1 ed. Amsterdam: Elsevier.
Alli, K., A. Khan, and G. Ramirez. 1993. Determinants of corporate dividend policy: A factorial
analysis. The Financial Review 28 (4):523-547.
Altman, E. 1968. Financial ratios, discriminant analysis and the prediction of corporate
bankruptcy. The Journal of Finance 23 (4):589-609.
Anthony, J., and K. Ramesh. 1992. Association between accounting performance measures and
stock prices: A test of the life cycle hypothesis. Journal of Accounting and Economics 15
(2):203-227.
Asquith, P., and D. Mullins Jr. 1983. The impact of initiating dividend payments on
shareholders' wealth. The Journal of Business 56 (1):77-96.
Baker, M., and J. Wurgler. 2004. A catering theory of dividends. The Journal of Finance 59
(3):1125-1165.
Benesh, G., A. Keown, and J. Pinkerton. 1984. An examination of market reaction to substantial
shifts in dividend policy. The Journal of Financial Research 7 (2):131-142.
Bhattacharya, S. 1979. Imperfect information, dividend policy, and “the bird in the hand”
fallacy. The Bell Journal of Economics 10 (1):259-270.
Black, F., and M. Scholes. 1974. The effects of dividend yield and dividend policy on common
stock prices and returns. Journal of Financial Economics 1 (1):1-22.
Bradley, M., D. Capozza, and P. Seguin. 1998. Dividend policy and cash‐flow uncertainty. Real
Estate Economics 26 (4):555-580.
Brav, A., J. Graham, C. Harvey, and R. Michaely. 2005. Payout policy in the 21st century.
Journal of Financial Economics 77 (3):483-527.
Brown, J., K. Drake, and L. Wellman. 2015. The benefits of a relational approach to corporate
political activity: Evidence from political contributions to tax policymakers. The Journal
of the American Taxation Association 37 (1):69-102.
Brown, J., N. Liang, and S. Weisbenner. 2007. Executive financial incentives and payout policy:
Firm responses to the 2003 dividend tax cut. The Journal of Finance 62 (4):1935-1965.
Caballero, R., and E. Engel. 1999. Explaining investment dynamics in US manufacturing: A
generalized (S, s) approach. Econometrica 67 (4):783-826.
Campbell, J., J. Chyz, D. Dhaliwal, and W. Schwartz Jr. 2013. Did the 2003 tax act increase
capital investments by corporations. The Journal of the American Taxation Association
35 (2):33-63.
Chen, S., X. Chen, Q. Cheng, and T. Shevlin. 2010. Are family firms more tax aggressive than
non-family firms? Journal of Financial Economics 95 (1):41-61.
Chetty, R., and E. Saez. 2005. Dividend taxes and corporate behavior: Evidence from the 2003
dividend tax cut. The Quarterly Journal of Economics 120 (3):791-833.
36
———. 2006. The effects of the 2003 dividend tax cut on corporate behavior: Interpreting the
evidence. The American Economic Review 96 (2):124-129.
Christie, W. 1994. Are dividend omissions truly the cruelest cut of all? Journal of Financial and
Quantitative Analysis 29 (3):459-480.
DeAngelo, H., and L. DeAngelo. 1990. Dividend policy and financial distress: An empirical
investigation of troubled NYSE firms. The Journal of Finance 45 (5):1415-1431.
DeAngelo, H., L. DeAngelo, and D. Skinner. 1992. Dividends and losses. The Journal of
Finance 47 (5):1837-1863.
Denis, D., and I. Osobov. 2008. Why do firms pay dividends? International evidence on the
determinants of dividend policy. Journal of Financial Economics 89 (1):62-82.
Desai, M., and D. Dharmapala. 2006. Corporate tax avoidance and high-powered incentives.
Journal of Financial Economics 79 (1):145-179.
Dhaliwal, D., M. Erickson, and R. Trezevant. 1999. A test of the theory of tax clienteles for
dividend policies. National Tax Journal 52 (2):179-194.
Dhaliwal, D., C. Gleason, and L. Mills. 2004. Last‐chance earnings management: Using the tax
expense to meet analysts' forecasts. Contemporary Accounting Research 21 (2):431-459.
Dhaliwal, D., L. Krull, and O. Li. 2007. Did the 2003 tax act reduce the cost of equity capital?
Journal of Accounting and Economics 43 (1):121-150.
Dickinson, V. 2011. Cash flow patterns as a proxy for firm life cycle. The Accounting Review 86
(6):1969-1994.
Drake, K., S. Lusch, and J. Stekelberg. 2017. Does tax risk affect investor valuation of tax
avoidance? Journal of Accounting, Auditing and Finance (forthcoming).
Dyreng, S., M. Hanlon, and E. Maydew. 2008. Long-run corporate tax avoidance. The
Accounting Review 83 (1):61-82.
Easterbrook, F. 1984. Two agency-cost explanations of dividends. The American Economic
Review 74 (4):650-659.
Edwards, A., C. Schwab, and T. Shevlin. 2016. Financial constraints and cash tax savings. The
Accounting Review 91 (3):859-881.
Eisen, B. 2016. Dividends are what matter now. The Wall Street Journal, August 24, 2016.
Elton, E., and M. Gruber. 1970. Marginal stockholder tax rates and the clientele effect. The
Review of Economics and Statistics 52 (1):68-74.
Fama, E., and K. French. 2001. Disappearing dividends: Changing firm characteristics or lower
propensity to pay? Journal of Financial Economics 60 (1):3-43.
Frank, M., L. Lynch, and S. Rego. 2009. Tax reporting aggressiveness and its relation to
aggressive financial reporting. The Accounting Review 84 (2):467-496.
Gonedes, N. 1978. Corporate signaling, external accounting, and capital market equilibrium:
Evidence on dividends, income, and extraordinary items. Journal of Accounting Research
16 (1):26-79.
Graham, J., and A. Kumar. 2006. Do dividend clienteles exist? Evidence on dividend preferences
of retail investors. The Journal of Finance 61 (3):1305-1336.
Graham, J., and D. Rogers. 2002. Do firms hedge in response to tax incentives? The Journal of
Finance 57 (2):815-839.
Graham, J., and C. Smith. 1999. Tax incentives to hedge. The Journal of Finance 54 (6):2241-
2262.
Grullon, G., R. Michaely, and B. Swaminathan. 2002. Are dividend changes a sign of firm
maturity? The Journal of Business 75 (3):387-424.
37
Guenther, D., S. Matsunaga, and B. Williams. 2017. Is tax avoidance related to firm risk? The
Accounting Review 92 (1):115-136.
Guenther, D., R. Wilson, and K. Wu. 2016. Tax uncertainty and marginal tax avoidance:
Working Paper, University of Oregon.
Gupta, S., and K. Newberry. 1997. Determinants of the variability in corporate effective tax
rates: Evidence from longitudinal data. Journal of Accounting and Public Policy 16 (1):1-
34.
Hainmueller, J., and Y. Xu. 2013. ebalance: A Stata package for entropy balancing. Journal of
Statistical Software 54 (7):1-18.
Hanlon, M., and S. Heitzman. 2010. A review of tax research. Journal of Accounting and
Economics 50 (2):127-178.
Healy, P., and K. Palepu. 1988. Earnings information conveyed by dividend initiations and
omissions. Journal of Financial Economics 21 (2):149-175.
Higgins, D., T. Omer, and J. Phillips. 2015. The influence of a firm's business strategy on its tax
aggressiveness. Contemporary Accounting Research 32 (2):674-702.
Inger, K. 2014. Relative valuation of alternative methods of tax avoidance. The Journal of the
American Taxation Association 36 (1):27-55.
Jensen, M. 1986. Agency cost of free cash flow, corporate finance, and takeovers. The American
Economic Review 76 (2):323-329.
John, K., and J. Williams. 1985. Dividends, dilution, and taxes: A signalling equilibrium. The
Journal of Finance 40 (4):1053-1070.
Kaplan, S., and L. Zingales. 1997. Do investment-cash flow sensitivities provide useful measures
of financing constraints? The Quarterly Journal of Economics 112 (1):169-215.
Koo, D., S. Ramalingegowda, and Y. Yu. 2016. The effect of financial reporting quality on
corporate dividend policy. Review of Accounting Studies (Forthcoming).
Krull, L. 2004. Permanently reinvested foreign earnings, taxes, and earnings management. The
Accounting Review 79 (3):745-767.
Lamont, O., C. Polk, and J. Saá-Requejo. 2001. Financial constraints and stock returns. The
Review of Financial Studies 14 (2):529-554.
Law, K., and L. Mills. 2015. Taxes and financial constraints: Evidence from linguistic cues.
Journal of Accounting Research 53 (4):777-819.
Leone, M. 2008. There’s a cash machine in your tax department. Retrieved September 7, 2016.
Available from http://ww2.cfo.com/accounting-tax/2008/12/theres-a-cash-machine-in-
your-tax-department/.
Lintner, J. 1956. Distribution of incomes of corporations among dividends, retained earnings,
and taxes. The American Economic Review 46 (2):97-113.
Lipson, M., C. Maquieira, and W. Megginson. 1998. Dividend initiations and earnings surprises.
Financial Management 27 (3):36-45.
Lisowsky, P. 2010. Seeking shelter: Empirically modeling tax shelters using financial statement
information. The Accounting Review 85 (5):1693-1720.
Lisowsky, P., L. Robinson, and A. Schmidt. 2013. Do publicly disclosed tax reserves tell us
about privately disclosed tax shelter activity? Journal of Accounting Research 51
(3):583-629.
Litzenberger, R., and K. Ramaswamy. 1979. The effect of personal taxes and dividends on
capital asset prices: Theory and empirical evidence. Journal of Financial Economics 7
(2):163-195.
38
McGuire, S., S. Neuman, and T. Omer. 2013. Sustainable tax strategies and earnings persistence.
Working Paper, Texas A&M University, The University of Missouri at Columbia, and
The University of Nebraska at Lincoln.
Michaely, R., R. Thaler, and K. Womack. 1995. Price reactions to dividend initiations and
omissions: Overreaction or drift? The Journal of Finance 50 (2):573-608.
Miller, M., and F. Modigliani. 1961. Dividend policy, growth, and the valuation of shares. The
Journal of Business 34 (4):411-433.
Miller, M., and K. Rock. 1985. Dividend policy under asymmetric information. The Journal of
Finance 40 (4):1031-1051.
Miller, M., and M. Scholes. 1978. Dividends and taxes. Journal of Financial Economics 6
(4):333-364.
Mills, L. 1998. Book-tax differences and Internal Revenue Service adjustments. Journal of
Accounting Research 36 (2):343-356.
Mueller, D. 1972. A life cycle theory of the firm. The Journal of Industrial Economics 20
(3):199-219.
Myers, S., and N. Majluf. 1984. Corporate financing and investment decisions when firms have
information that investors do not have. Journal of Financial Economics 13 (2):187-221.
Nance, D., C. Smith, and C. Smithson. 1993. On the determinants of corporate hedging. The
Journal of Finance 48 (1):267-284.
Neuman, S. 2016. Tax strategies: It's not just about minimization. Working Paper, The
University of Missouri at Columbia.
Porter, M. E. 1980. Competitive strategy: techniques for analyzing industries and competitors.
New York, New York: The Free Press.
Rego, S. 2003. Tax‐Avoidance activities of US multinational corporations. Contemporary
Accounting Research 20 (4):805-833.
Saavedra, D. 2015. Tax spike firms. Working Paper, The University of California, Los Angeles.
Sant, R., and A. Cowan. 1994. Do dividends signal earnings? The case of omitted dividends.
Journal of Banking & Finance 18 (6):1113-1133.
Skinner, D., and E. Soltes. 2011. What do dividends tell us about earnings quality? Review of
Accounting Studies 16 (1):1-28.
Smith, C., and R. Stulz. 1985. The determinants of firms' hedging policies. Journal of Financial
and Quantitative Analysis 20 (4):391-405.
Sommer, J. 2016. Dividends, Wall Street's battered status symbol. The New York Times,
February 14, 2016.
Venkatesh, P. 1989. The impact of dividend initiation on the information content of earnings
announcements and returns volatility. The Journal of Business 62 (2):175-197.
Watts, R. 1973. The information content of dividends. The Journal of Business 46 (2):191-211.
———. 1976. Comments on "On the informational content of dividends". The Journal of
Business 49 (1):81-85.
Weisbach, D. 2002. Ten truths about tax shelters. Tax Law Review 55 (2):215-253.
Whited, T., and G. Wu. 2006. Financial constraints risk. The Review of Financial Studies 19
(2):531-559.
Wilson, R. 2009. An examination of corporate tax shelter participants. The Accounting Review
84 (3):969-999.
39
Appendix A: Variable Definitions
Dependent Variables Definition
VOL_CETR The three-year standard deviation of a firm's cash effective tax rate
(TXPD/(PI-SPI)) from t-2 to t.
NEW_DIV An indicator variable equal to one if a firm pays a dividend in the
current year but did not pay a dividend in either t-2 or t-1.
STOP_DIV An indicator variable equal to one if a firm does not pay a dividend in
the current year but did pay a dividend in both t-2 and t-1.
BTD
The difference between a firm's book income and its taxable income
scaled by total assets (AT). Book income is a firm's pre-tax income
(PI). Taxable income is a firm's tax expense (either TXFED + TXFO -
(TLCF - lag TLCF) or, for missing/zero values of TXFED, TXT -
TXDI - TXS - TXO) scaled by the top corporate income tax rate.
DTAX The amount of a firm's discretionary book-tax differences following
Frank et al. (2009).
SHELTER The firm's tax shelter score following Wilson (2009).
Independent
Variables of Interest
DIV
The sum of all of a firm's per-share dividend payments from CRSP
(DIVAMT) for the fiscal year divided by the firm's stock price. Only
regular dividends (DISTCD 1200-1259 inclusive) are included.
Z_SCORE
The firm's Z-Score calculated following Altman (1968) and
implemented as follows:
Z_SCORE = 3.3*(PI+XINT)/at + 1.2*(WCAP/AT) +
0.99*(SALE/AT) + 1.4*(RE/AT) + 0.6*(MKVALT/LT)
This variable is multiplied by negative one so that higher values for
Z_SCORE imply greater financial distress.
CONSTRAIN An indicator variable equal to one if a dividend-paying firm's Z-
SCORE is in the top half of Z-SCOREs for all dividend-paying firms.
SPEC_DIV
The sum of all of a firm's per-share special dividend payments from
CRSP (DIVAMT) for the fiscal year divided by the firm's stock price.
Only special dividends (DISTCD 1270-1299 inclusive) are included.
40
REP
The firm's per-share repurchases following Fama and French (2001)
divided by the firm's stock price. Specifically, repurchases are the
annual change in treasury stock (TSTKC - lag TSTKC). If this amount
is less than or equal to zero, repurchases are the difference between
purchases and sales of common stock (PRSTKC - SSTK).
Control Variables
VOL_CF The three-year standard deviation of a firm's cash flows from
operations scaled by total assets (OANCF/AT) from t-2 to t.
PT_ROA The firm's pre-tax return on assets (PI/AT).
VOL_PT_ROA The three-year standard deviation of a firm's pre-tax return on assets
(PT_ROA) from t-2 to t.
SIZE The natural logarithm of a firm's total assets (log(AT)).
PP&E The firm's net property, plant, and equipment scaled by total assets
(PPENT/AT).
R&D The firm's research and development expense scaled by total assets
(XRD/AT). If this variable is missing, I set it equal to zero.
LEV The firm's long term debt scaled by total assets (DLTT/AT).
MTB The firm's market value of equity scaled by the firm's book value of
equity (MKVALT/CEQ).
IND_CETR
The firm's cash effective tax rate (TXPD/(PI-SPI)) less the average
cash effective tax rate for other firms in the same industry (Fama-
French 48 classification) and year.
CASH The firm's total cash holdings scaled by total assets (CHE/AT).
MK_PCTL
The firm's size based on its relative market value - specifically, the
percentage of all firm's in Compustat with a smaller market
capitalization (MKVALT).
AT_GROWTH The firm's growth in total assets ((AT - lag AT)/lag AT).
41
Figure 1
Notes: These graphs depict the average volatility of a firm’s cash ETR from five years prior to an event date (the
initiation or the elimination of a dividend) until five years after the event date.
Panel A contains the result of graphing the volatility of a dividend-initiating firm’s cash ETR before and after the
initiation of a dividend. For ease of interpretation, I also include a solid line representing the volatility of my mean
dividend-initiating firm’s cash ETR at t = -5, five years before the initiation of a dividend.
Panel B contains the result of graphing the volatility of a dividend-eliminating firm’s cash ETR before and after the
cessation of a dividend. For ease of interpretation, I also include a solid line representing the volatility of my mean
dividend-eliminating firm’s cash ETR at t = -5, five years before the elimination of a dividend.
0
0.1
0.2
0.3
0.4
-5 -4 -3 -2 -1 0 1 2 3 4 5
VO
L_C
ET
R
Year Relative to Dividend Initiation
Panel A: Average VOL_CETR Before and After Initiating a Dividend
VOL CETR T-5 VOL_CETR
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
-5 -4 -3 -2 -1 0 1 2 3 4 5
VO
L_C
ET
R
Year Relative to Dividend Elimination
Panel B: Average VOL_CETR Before and After Eliminating a Dividend
VOL_CETR T-5 VOL_CETR
42
TABLE 1
Sample Selection
1987 through 2015 firm years with a valid primary identifier, positive assets, a post
SFAS 95 statement of cash flows, and not in a regulated industry (SIC 6000-6999 or
SIC 4900-4999)
180,349
Less: firm years lacking information necessary to compute lagged values -40,183
Less: firms missing dependent or independent variables of interest, control variables,
or with extreme cash ETRs (cash ETRs < 0 or cash ETRs > 1)
-66,778
Total observations with all required information 73,388
Less: firm years for loss firms (negative cumulative 3-year pre-tax income) or small
firms (assets<$500,000 or book equity < $250,000)
-15,810
Total Observations for Primary Tests 57,578
Notes: I summarize my sample selection process in this table.
All variables are defined in the Appendix and taken from Compustat with the exception of firm dividends, which are taken
from CRSP. Only CRSP dividends with a distribution code (DISTCD) between 1200 and 1259 inclusive are included.
A post SFAS 95 statement of cash flows is necessary to compute several variables, including a firm's cash ETR. I remove
firms with extreme cash ETRs following Guenther et al. (2017). I remove small firms following Fama and French (2001).
43
TABLE 2
Descriptive Statistics
Variable N Mean Std Dev P25 Median P75
VOL_CETR 57,578 0.1889 0.4061 0.0401 0.0831 0.1688
DIV 57,578 0.0082 0.0151 0.0000 0.0000 0.0119
VOL_CF 57,578 0.0492 0.0448 0.0191 0.0355 0.0632
PT_ROA 57,578 0.0979 0.0869 0.0455 0.0862 0.1411
VOL_PT_ROA 57,578 0.0485 0.0545 0.0158 0.0309 0.0589
SIZE 57,578 6.0523 2.0733 4.5736 5.9697 7.4544
PP&E 57,578 0.2795 0.2252 0.1023 0.2153 0.3978
R&D 57,578 0.0257 0.0455 0.0000 0.0000 0.0319
LEV 57,578 0.1620 0.1619 0.0045 0.1270 0.2676
MTB 57,578 2.8968 2.7641 1.3107 2.0835 3.3926
IND_CETR 57,578 0.0900 0.3494 -0.0617 0.0809 0.2187
CASH 57,578 0.1526 0.1693 0.0254 0.0865 0.2240
NEW_DIV 57,578 0.0252 0.1567 0.0000 0.0000 0.0000
STOP_DIV 57,578 0.0069 0.0825 0.0000 0.0000 0.0000
MK_PCTL 57,578 66.0610 24.4130 49.5403 71.0480 86.2231
AT_GROWTH 57,578 0.1915 0.3735 0.0104 0.0928 0.2300
Z_SCORE 52,323 -5.1914 4.8930 -5.8847 -3.8026 -2.5312
CONSTRAIN 22,142 0.4951 0.4988 0.0000 0.0000 1.0000
SG 57,498 0.1607 0.2796 0.0140 0.1008 0.2331
SPEC_DIV 57,578 0.0082 0.0151 0.0000 0.0000 0.0119
REP 57,576 0.0129 0.0306 0.0000 0.0000 0.0089
BTD 47,006 0.0207 0.1273 -0.0092 0.0168 0.0490
DTAX 25,818 0.2656 1.7419 -0.0363 0.0053 0.0940
SHELTER 47,006 -0.2128 1.5824 -1.1952 -0.2375 0.7816 Notes: I present descriptive statistics with respect to the full sample of firms in this table. See Table 1 for the sample selection
process.
See the Appendix for a more detailed discussion of each variable. All continuous variables are winsorized at the 1% and 99%
levels.
44
TABLE 3
Correlation Matrix (n=57,578)
Variable (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)
(1) VOL_CETR 1
(2) DIV -0.06 1
(3) VOL_CF 0.08 -0.15 1
(4) PT_ROA -0.14 0.00 0.11 1
(5) VOL_PT_ROA 0.11 -0.10 0.44 0.00 1
(6) SIZE -0.09 0.20 -0.40 -0.09 -0.24 1
(7) PP&E -0.04 0.16 -0.18 -0.07 -0.11 0.15 1
(8) R&D 0.01 -0.13 0.11 0.04 0.19 -0.11 -0.30 1
(9) LEV 0.01 0.11 -0.21 -0.31 -0.12 0.30 0.32 -0.28 1
(10) MTB -0.07 -0.02 0.05 0.36 0.08 0.11 -0.08 0.16 0.05 1
(11) IND_CETR 0.04 0.00 -0.01 0.03 -0.02 0.01 -0.02 -0.02 -0.04 -0.03 1
(12) CASH 0.00 -0.13 0.19 0.24 0.21 -0.20 -0.37 0.40 -0.44 0.16 0.00 1
Notes: This table contains Pearson correlations among variables of interest and control variables. See Table 1 for the sample selection process.
Correlations in bold are statistically significant in at the 5% level or better. See the Appendix for a more detailed discussion of each variable. I winsorize all continuous
variables at the 1% and 99% levels.
45
TABLE 4
Effect of Dividends on Volatility of Cash ETRs
(1) (2) (3)
All Firms No Small/Loss Firms Dividend-Paying Firms
Dependent Variable = VOL_CETR Coefficient Coefficient Coefficient
t-stat t-stat t-stat
INTERCEPT 0.2432*** 0.3028*** 0.2420*** 8.14 8.07 5.46
DIV -1.6218*** -1.0780*** -0.7316***
-10.98 -7.75 -6.35
VOL_CF -0.0402*** 0.3062*** 0.7030*** -5.11 4.88 6.68
PT_ROA 0.0110*** -0.6812*** -0.6873*** 4.98 -23.72 -18.83
VOL_PT_ROA -0.0164*** 0.5787*** 0.9689*** -5.87 10.69 11.12
SIZE -0.0039*** -0.0114*** -0.0107*** -3.42 -8.51 -7.52
PP&E -0.0715*** -0.0423*** -0.0036 -5.49 -2.99 -0.24
R&D -0.0937*** -0.0689 0.1103 -3.76 -1.02 1.07
LEV 0.0552*** 0.0277 -0.0152 4.44 1.56 -0.82
MTB -0.0037*** -0.0024*** -0.0015 -10.05 -2.88 -1.64
IND_CETR 0.0791*** 0.0646*** 0.0195***
14.2 11.84 4.30
CASH -0.0167 0.0124 0.0275
-1.23 0.72 1.35
Industry and Year Fixed Effects Yes Yes Yes
Clustered Standard Errors Firm Firm Firm
Observations 73,388 57,578 21,512
Adjusted R-Squared 2.04% 4.79% 9.56% Notes: This table contains the result of estimating equation (1) to test my first hypothesis; I expect a negative relation between DIV
and VOL_CETR.
In the first column, I present the result with respect to a sample that includes loss firms (cumulative three-year loss) and small firms
(< $500,000 in assets or < $250,000 in book equity). In the second column, I present the result based on a sample excluding these
firms. In the third column, I present the result for a sample of dividend-paying firms (DIV > 0).
See the Appendix for a more detailed discussion of each variable. I winsorize all continuous variables at the 1% and 99% levels. The
symbols *, **, and *** denote statistical significance at the 10%, 5%, and 1% levels respectively. I include industry and year fixed
effects and cluster standard errors at the firm level.
46
TABLE 5
Panel A: Effect of Dividends on Volatility of Cash ETRs Pre- and Post- Dividend Initiation
(1)
Dividend-Initiating Firms
Dependent Variable = VOL_CETR Coefficient
t-stat
INTERCEPT 0.2020*** 4.81
DIV -0.8695**
-4.01
VOL_CF 0.2697* 1.92
PT_ROA -0.6775*** -8.79
VOL_PT_ROA 0.8402*** 6.54
SIZE -0.0115*** -3.62
PP&E -0.0359 -1.54
R&D -0.0051 -0.02
LEV 0.0037 0.11
MTB 0.0037 1.27
IND_CETR 0.0335***
3.51
CASH 0.0132
0.35
Industry and Year Fixed Effects Yes
Clustered Standard Errors Firm
Observations 6,382
Adjusted R-Squared 7.00%
47
TABLE 5
Panel B: Effect of Dividends on Volatility of Cash ETRs Pre- and Post- Dividend Elimination
(1)
Dividend-Eliminating Firms
Dependent Variable = VOL_CETR Coefficient
t-stat
INTERCEPT 0.6206** 2.25
DIV -1.8578***
-5.24
VOL_CF 0.5288 1.44
PT_ROA -0.4622*** -3.40
VOL_PT_ROA 0.0029 0.02
SIZE -0.0174** -2.12
PP&E -0.1777** -2.02
R&D 0.7352 1.18
LEV -0.0640 -1.01
MTB -0.0056*** -2.84
IND_CETR 0.0243
0.61
CASH -0.1411
-1.24
Industry and Year Fixed Effects Yes
Clustered Standard Errors Firm
Observations 2,723
Adjusted R-Squared 3.20%
48
TABLE 5
Panel C: Effect of Volatility of Cash ETRs on the Likelihood of Dividend Initiations and Eliminations
Analysis of Dividend Initiations Analysis of Dividend Eliminations
(1) (2) (3) (4) (5) (6)
Dependent Variable = P(NEW_DIV=1)
Full
Controls
Matched
Sample
Entropy-
Balanced
Full
Controls
Matched
Sample
Entropy-
Balanced
Coefficient Coefficient Coefficient Coefficient Coefficient Coefficient
z-stat z-stat z-stat z-stat z-stat z-stat
INTERCEPT -4.6909*** -0.5838 0.0500 -4.5459*** -1.2849** -0.5161 -28.57 -1.54 0.07 -16.46 -2.00 -0.80
VOL_CETR -0.1366* -0.0982 -0.0169 0.5160*** -0.0071 0.1306**
-1.86 -0.79 -0.94 5.28 -0.07 2.45
PT_ROA 4.6783*** 2.2727* -0.1137 -4.8323*** 1.2813 1.5215*** 11.54 1.86 -0.28 -7.39 0.55 2.78
MTB -0.0245* -0.0160 -0.0008 -0.0424 -0.0197 0.0008 -1.68 -0.48 -0.43 -1.45 -0.88 0.44
MK_PCTL 0.0057* 0.0003 0.0069** -0.0579*** -0.0162* -0.0636***
1.65 0.04 2.19 -13.03 -1.67 -12.29
AT_GROWTH -0.8138*** -0.7796*** 0.1381 -0.0071 -0.3525 0.0557 -5.41 -3.41 1.38 -0.05 -0.85 0.37
VOL_CF -0.5642 -1.7268 0.1717 6.7987*** 4.5578 -0.1862 -0.70 -1.02 0.26 4.87 1.16 -0.14
VOL_PT_ROA -0.8733 -1.3400 -0.0271 6.6655*** 15.4308*** 0.7493 -1.45 -0.87 -0.09 7.21 3.68 1.19
SIZE 0.1349*** -0.0191 -0.1012*** 0.4474*** 0.2212* 0.6994*** 3.16 -0.18 -2.59 8.00 1.87 10.27
PP&E 0.4302** 0.9888** -0.0124 -0.5374* -0.5344 -0.2152 2.28 2.38 -0.07 -1.82 -0.87 -0.69
R&D -5.2862*** -3.1043* 0.2904 2.4357 -1.1975 3.0465 -5.04 -1.86 0.29 1.30 -0.30 1.46
LEV 0.5420** -0.1681 0.0851 1.6335*** 0.2316 0.2091 2.39 -0.35 0.40 4.99 0.37 0.98
49
IND_CETR -0.0184 0.1127 0.0074 -0.1535 -0.1590 -0.0774
-0.21 0.65 0.51 -1.36 -0.36 -0.82
CASH 0.3858* -0.1891 -0.0490 0.5817 1.4931 0.7445
1.80 -0.45 -0.22 1.27 1.20 1.45
Industry and Year Fixed Effects Yes Yes Yes Yes No Yes
Clustered Standard Errors Firm Firm Firm Firm Firm Firm
Observations 35,296 1,396 35,296 21,741 340 21,741
Pseudo R-Squared 10.23% 7.50% 5.69% 26.34% 15.36% 6.47%
Area Under ROC Curve 74.80% 63.30% 65.70% 84.70% 69.60% 75.10% Notes: This table contains the result of estimating equations (2A-2C) to test my second hypothesis.
In Panel A, I present the result of the first part of my second hypothesis. I expect a negative relation between DIV and VOL_CETR. I test this relation using a sample of firms
that begin paying a dividend at some point during my sample. I then isolate a period of three years prior to the initiation of the dividend until three years after the initiation of
the dividend.
In Panel B, I present the result of the second part of my second hypothesis. I expect a negative relation between DIV and VOL_CETR. I test this relation using a sample of firms
that stop paying a dividend at some point during my sample. I then isolate a period of three years prior to the cessation of the dividend until three years after the cessation of the
dividend.
In Panel C, I present the results of analyzing a sample of prior to the initiation (elimination) of a dividend in columns one, two, and three (columns four, five, and six). I test this
relation using a sample of firms that do not (do) pay a dividend during my sample period and those that start (stop) paying a dividend during my sample period. Once a firm
begins (ceases) paying a dividend, I remove all subsequent firm-years for that firm from my analysis. The first (last) three columns contain the result of estimating equation 2(C)
on a sample of all firms with available data, a sample of dividend-initiating (eliminating) and non-dividend-initiating (eliminating) firms in the same industry and year matched
by firm size and profitability, and a sample of all firms with available data using entropy-balanced re-weighted coefficients for all control variables respectively.
See the Appendix for a more detailed discussion of each variable. I winsorize all continuous variables at the 1% and 99% levels. The symbols *, **, and *** denote statistical
significance at the 10%, 5%, and 1% levels respectively. I include industry and year fixed effects and cluster standard errors at the firm level. Z-statistics (Panel C) are the
positive square root of the equivalent Wald Chi-Square statistic multiplied by the sign of the associated coefficient.
50
TABLE 6
Influence of Financial Constraint on Relation between Dividends and Volatility of Cash ETRs
Dividend-Paying Firms
Dependent Variable = VOL_CETR Coefficient
t-stat
INTERCEPT 0.2424*** 5.34
DIV -0.9825***
-8.19
CONSTRAIN 0.0224***
3.27
DIV*CONSTRAIN 0.5298***
2.61
VOL_CF 0.7136*** 6.64
PT_ROA -0.6229*** -17.19
VOL_PT_ROA 0.8131*** 9.38
SIZE -0.0121*** -8.07
PP&E -0.0031 -0.21
R&D 0.1549 1.44
LEV -0.0402** -2.26
MTB -0.0010 -1.14
IND_CETR 0.0222***
4.75
CASH 0.0549***
2.58
Test: Total Effect of DIV -0.4527**
-2.50
Test: Total Effect of CONSTRAIN 0.5522***
2.78
Industry and Year Fixed Effects Yes
Clustered Standard Errors Firm
Observations 22,142
Adjusted R-Squared 9.74% Notes: This table contains the result of estimating equation (3) to test my third hypothesis; I expect that CONSTRAIN moderates the negative relation
between DIV and VOL_CETR. I test this relation using a sample of dividend-paying firms.
See the Appendix for a more detailed discussion of each variable. I winsorize all continuous variables at the 1% and 99% levels. The symbols *, **, and *** denote statistical significance at the 10%, 5%, and 1% levels respectively. I include industry and year fixed effects and cluster standard
errors at the firm level.
51
TABLE 7
Alternate Econometric Specifications: Effect of Dividends on Volatility of Cash ETRs
(1) (2) (3)
Matched Sample Firm Fixed Effects IV
Dep. Variable = VOL_CETR Coefficient Coefficient Coefficient
t-stat t-stat t-stat
INTERCEPT 0.2556*** 0.3051** 0.2103*** 8.21 2.53 6.27
DIV -0.7321*** -1.1295***
-3.83 -6.35
PRED_DIV -3.7561***
-3.35
VOL_CF 0.4413*** 0.3622*** 0.2703*** 3.79 6.84 4.21
PT_ROA -1.1107*** -0.5776*** -0.6968*** -16.33 -21.54 -23.57
VOL_PT_ROA 1.2133*** 0.5881*** 0.6232*** 10.26 14.66 11.65
SIZE -0.0122*** -0.0384*** -0.0099*** -5.37 -10.24 -5.46
PP&E -0.0258 -0.0291 -0.0061 -1.23 -1.12 -0.36
R&D 0.0261 -0.2960*** -0.0495 0.25 -2.78 -0.73
LEV -0.0173 0.0518*** 0.0430** -0.64 2.68 2.43
MTB -0.0004 -0.0018** -0.0015* -0.25 -1.97 -1.82
IND_CETR 0.0531*** 0.1312*** 0.2725***
5.91 11.72 20.65
CASH 0.0082 0.0135 0.2051***
0.34 0.79 6.09
Industry and Year Fixed Effects Yes Yes Yes
Firm Fixed Effects No Yes No
Clustered Standard Errors Firm Firm Firm
Observations 17,478 57,578 57,578
Adjusted R-Squared 6.42% 23.97% 5.04% Notes: This table contains the result of re-estimating alternate econometric specifications with respect to my first hypothesis; across all specifications, I expect a negative relation between DIV and VOL_CETR.
In the first column, I re-estimate equation (1) on a matched sample of dividend-paying firms and non-dividend-paying control firms. I match without replacement every dividend-paying firm-year to a control firm in the same year and industry with the closest (equal weighted) match
based on SIZE and PT_ROA. Matches must be within +/- 5% on both of these dimensions to be accepted. In the second column, I re-estimate
equation (1) and include firm fixed effects. In the third column, I re-estimate equation (1) based on a 2SLS IV specification. I do not tabulate the first stage of this regression. I use sales growth, SG to satisfy the exclusion restriction. Untabulated analysis indicates that SG is negatively
correlated with DIV but uncorrelated with VOL_CETR.
See the Appendix for a more detailed discussion of each variable. I winsorize all continuous variables at the 1% and 99% levels. The symbols
*, **, and *** denote statistical significance at the 10%, 5%, and 1% levels respectively. I include industry and year fixed effects in all specifications. I include firm fixed effects in the second column. I cluster standard errors at the firm level.
52
TABLE 8
Alternate Samples: Effect of Dividends on Volatility of Cash ETRs
(1) (2)
Bush Tax Cuts Share Repurchases
Dependent Variable = VOL_CETR Coefficient Coefficient
t-stat t-stat
INTERCEPT 0.3967*** 0.3034*** 3.61 8.10
DIV -2.2186** -0.0562
-2.47 -0.90
SPEC_DIV 0.5628
1.11
REP -1.0752***
-7.73
VOL_CF 0.1211 0.3057*** 0.31 4.87
PT_ROA -0.6037*** -0.6793*** -3.48 -23.60
VOL_PT_ROA 0.8717** 0.5793*** 2.45 10.70
SIZE -0.0177* -0.0113*** -1.74 -8.44
PP&E -0.1520** -0.0426*** -1.98 -3.02
R&D 0.3392 -0.0675 0.46 -1.00
LEV -0.0002 0.0283 -0.00 1.59
MTB -0.0003 -0.0024*** -0.05 -2.94
IND_CETR 0.0191 0.0647***
0.76 11.84
CASH -0.2005*** 0.0124
-2.91 0.73
Test: DIV - SPEC_DIV -2.7813***
-2.68
Test: DIV - REP -1.0191***
-6.57
Industry and Year Fixed Effects Yes Yes
Clustered Standard Errors Firm Firm
Observations 1,128 57,578
Adjusted R-Squared 6.38% 4.80% Notes: This table contains the result of estimating my results on alternate samples; across all specifications, I expect a negative relation between
DIV and VOL_CETR. In the first column, I re-estimate equation (2B) on a sample of firms that initiate a new dividend in response to the Bush
tax cuts. In the second column, I re-estimate equation (1) and include an additional explanatory variable for share repurchases, REP.
See the Appendix for a more detailed discussion of each variable. I winsorize all continuous variables at the 1% and 99% levels. The symbols *, **, and *** denote statistical significance at the 10%, 5%, and 1% levels respectively. I include industry and year fixed effects and cluster
standard errors at the firm level.
53
TABLE 9
Effect of Dividends on Firm Tax Strategies
(1) (2) (3)
Dividend-Paying Firms Dividend-Paying Firms Matched Sample
Dependent Variable = BTD DTAX SHELTER
Coefficient Coefficient Coefficient
t-stat t-stat t-stat
INTERCEPT -0.0459*** 0.4969*** -0.1662 -4.42 4.74 -0.73
DIV 0.1643*** -1.0110* -5.6645***
3.12 -1.69 -5.3
VOL_CF 0.0620** -0.2393 -5.7367*** 2.54 -0.54 -14.79
PT_ROA 0.2593*** 1.5639*** 3.8442*** 16.69 9.58 18.66
VOL_PT_ROA -0.0850*** 0.5510 -2.2206*** -3.08 1.47 -6.59
SIZE 0.0021*** -0.0106
4.42 -1.37
PP&E 0.0325*** -0.1269* 0.3016*** 7.66 -1.75 2.89
R&D 0.0128 -1.0157** 3.3925*** 0.31 -2.19 6.10
LEV 0.0437*** -0.0661 -0.1327 7.75 -0.79 -1.33
MTB -0.0013*** 0.0033 0.0373*** -3.61 0.72 6.15
IND_CETR -0.0146*** 0.0560* -0.1390***
-9.69 1.79 -5.06
CASH 0.0121* -0.1551 -0.5772***
1.71 -1.43 -4.66
Industry and Year Fixed Effects Yes Yes Yes
Clustered Standard Errors Firm Firm Firm
Observations 18,438 10,232 19,172
Adjusted R-Squared 11.30% 59.72% 26.27% Notes: This table contains the result of re-estimating slightly modified forms of equation (1) on different dependent variables.
In the first column, I use BTD as the dependent variable and estimate this regression on a sample of dividend-paying firms.
In the second column, I use DTAX as the dependent variable and estimate this regression on a sample of dividend-paying firms.
In the third column, I use SHELTER as the dependent variable and estimate this regression on a matched by industry, year, and size sample
of divided-paying firms and non-dividend paying control firms. I exclude SIZE from this regression as it is a primary input in the
calculation of SHELTER.
See the Appendix for a more detailed discussion of each variable. I winsorize all continuous variables at the 1% and 99% levels. The
symbols *, **, and *** denote statistical significance at the 10%, 5%, and 1% levels respectively. I include industry and year fixed effects
and cluster standard errors at the firm level.