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  • 8/8/2019 Draft Summary Essay 1

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    George

    Tsoukalas, George

    Professor Jeannette Novakovich

    English 213

    16 September 2010

    Draft of Summary Essay 1

    In this article, the ties between the influence economic 'gridlock' can have are statistically

    analyzed. Various comparisons are demonstrated in tables in order to prove an existing

    correlation between healthy equity and its political influence. This article begins with a citation

    alluding to economic notions of 'gridlock' according to popular financial analyst Rebecca Byrne.

    A claim is made about how a country's government largely depends on economic equity.

    The initial stage is introduced by a sub-title:Political Gridlock and Economic

    Conditions. This stage of this essay examines the predominant facts regarding political influence

    within the economy and how influential financial analysts use this to their advantage when

    choosing times to invest and not to invest. An interesting example is used by the authors of

    Gridlocks Gone, Now What? to relate the significance of political harmony and economical

    gridlock within the U.S. The author states: For example, in May 2001, Senator Jim Jeffords of

    Vermont switched his party affiliation from Republican to Independent, ending Republican

    control of the Congress (Beyer 2006), further implicating a necessary relationship between

    political gridlock and a stable market. At the end of this stage, the author describes how

    important gridlock is for an equitable market.

    A second stage explains the actual study conducted using a sample of multiple indexes

    ranging from 1949 to 2004 in order to provide a relationship of political influence and healthy

    market. Qualitative classifications are later described in order to establish binary relations

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    between a divided government which leads to economic gridlock and a unified government

    equals harmony. Various income returns were thoroughly analyzed in this stage of the essay

    leading to an in-depth analysis of various significant statistical results including an F-Test. This

    was typically the method of experimentation within this statistical analysis: a study of periods of

    gridlock and their volatility. In brief, this stage highlights the importance of gridlock and

    explains how this study was conducted as a means to further illustrate the intermittent

    relationship between gridlock and political influence.

    In a third stage, the results of the experiment conducted on various statistical surveys and

    analysis were explained. The author explains the periods of gridlock according to the data

    collected and compares the results in a table. He states: Bond markets may prosper during

    gridlock because the lack of legislative action dampens government spending, inflation and

    deficits (Beyer 2006), which strengthens the principle argument of economic prosperity during

    times of political gridlock. This stage gives a detailed outline of how these results only

    strengthen the initial hypothesis and how T-Bonds were used in the experiment to demonstrate

    how periods of gridlock accentuate the process of political hegemony and is steeper on a

    mathematical slope during periods of political harmony than those of gridlock. The regression

    is later discussed in order to identify the principle argument of binary of monetary policy and

    political affiliations.

    The final stage which is the conclusion of the experiment sums up the experiment by

    proving the causal relationship between the economic gridlock of the U.S. throughout 1949 and

    2004. Three important factors are later discussed by Scott B. Beyer: the so-called myth about

    gridlock and how it negatively affects the economy, the relation of store returns with that of the

    countrys policies and, finally, the high return rate of stores and their statistical relevance.

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    Works Cited

    Beyer, Jensen and Robert R. Johnson. Gridlocks Gone, Now What? Financial

    Analysts Journal 62.5 (2006): 21-28. JSTOR.