cmf res alliance micro finance
TRANSCRIPT
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Microfinance researchfindings: What do we know?
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Outline
Main research issues
Impact
Quality
Debunking the microfinance myths What is psychology worth?
Integrating psychological and socialconstraints
Microfinance plus
Business training example
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Broad sets of questions
Impact of financial services
Can impact be maximized by combining credit withother services?
Quality of financial services: Need to understand
the nature of demand Need to improve product design to
Increase access
Encourage people to make optimal use of financialservices
Reach out to the poorest
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Why is it important to measure
impact? Usual rationale for impact evaluations of development
interventions: allocation of resources
Some interventions still require grants (capacity building) In come countries, current scenario implicitly subsidizesmicrocredit
Social investors should also be interested
Even if clients repay and continue to come, microcredit may notbe beneficial to them (they may not be rational when they makethe decision to borrow)
Repayment rates are good, but drop outs
Micro Finance is subject to political influences and reactionsare very emotional It is not only important to understand final impact, but also to
understand how this happened, and on whom it has the most
impact Impact is not necessarily impact of micro-credit vs nothing, itcan also be the impact of one intervention vs another, or of an
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Why can research be useful for
practitioners?
Vendors caught in adebt trap
Safe savings products
Financial literacy
Defaults due to health
events
Health prevention?
Insurance?
Clients often do notinvest in productivepurposes
Innovative product
design?
Business training?
Independent
insurance?
Bundled product?
Voluntary?
Commitmentmechanisms?
Problem Solution Implementation
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Outline
Main research issues
Impact Quality
Debunking the microfinance myths What is psychology worth?
Integrating psychological and socialconstraints
Microfinance plus
Business training example
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Impact of micro-credit in
Hyderabad We overall lack evidence on the impact of traditional, Grameen type
micro-credit programs
One of the first randomized evaluations of micro-credit done inHyderabad by J-PAL and CMF at IFMR
Randomized evaluations allow to correctly attribute the direction ofcausality (observed changes were due to the program only)
Preliminary results
Spandana: one of the largest MFIs in India, several products
We evaluated the joint liability product: loan size Rs 10,000 withpossible top-up Rs 2000, group size 10 women, weekly meetings
120 slums in Hyderabad city, randomly divided in two groups of 60slums Spandana introduced micro-credit in one group, the treatmentgroup, and not in the other group, the control group.
Despite the presence of other MFIs, in average households had takenup more credit in the treatment slums - we look at the impact on allhouseholds
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Impact of micro-credit in
Hyderabad No much effect on total per capita expenditure
However, spending on snacks, intoxicants, and gambling ("temptation
goods") and spending on festivals decrease in treatment slums Consistent with microfinance institution acting as savings instruments
Durables spending increases, both for durables used for a businessand durables not used for a business.
Treatment households are more likely to have started a business in thelastyear
A new business is more likely to be female-run in a treatment area
Food spending and spending on education, health and clothing don'tchange
No effect on empowerment measures or happiness
Both could be a time issue, since the timeline was one to two years impactSome positive effects, in particular on wasteful expenditures andchances of starting new businesses for women
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Consumer micro-credit:
background A study by Dean Karlan and Jonathan Zinman in South
Africa
Does consumer finance have positive impact on thepoor?
Note: Money is fungible! And thats OK
Does relaxing any credit constraints benefit marginalborrowers?
Revealed preference logic says it should: a consumer borrowsonly if she will benefit. Behavioral models say not necessarily:preferences and lack of understanding may lead consumers tooverborrow.
Would the lender profit from making these marginalloans?
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Randomly encouraged loan officers to approve somemarginal applications
3,000 new applicants who had no prior borrowing fromthe Lender and applied at any of 8 branches over twomonths
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Consumer micro-credit: design
787 marginal clts
325 Treatment 462 Control
Randomizer software
Compliance for the treatment (approve) group: only 53%actually received a loan
Note that with a randomized evaluation you evaluate theintention to treat, or the impact of having access to the
loan you can then infer the impact on the treated(those who get the loan)
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Consumer micro-credit: results
and policy implications Positive impact on retaining job, and on income
Less likely to experience hunger, and had more positive outlookson their prospects and position
Negativeimpact on other aspects of mental health (depressionand stress)
But the average treatment effect across all economic andsubjective outcomes is significant and positive
Caveats: 6 to 12 month horizons, no long term results
The marginal loans were profitable, although substantially less
profitable than inframarginal loans. Suggests that liberalizing screening criteria can benefit both
borrowers and lenders
Benefits of taking controlled risks using randomizedexperimentation.
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Outline
Main research issues
Impact Quality
Debunking the microfinance myths What is psychology worth?
Social constraints
Microfinance plus
Business training example
Conclusion and future research needs
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Changing repayment schedules:
background Frequent (weekly) repayment is believed to be one of the most
important premises, in addition to group lending, for successful micro-
credit programs.- Financial discipline, possibility to monitor other clients, trust in loan
officers, commitment device
However, large transaction costs for both borrowers and lenders.
Weekly repayment schedules may not suit the income flows ofhouseholds engaged in certain types of activities.
According to economic theory, less rigid repayment schedules shouldnot increase default/delinquency and may encouragelonger terminvestments
CMF, Rohini Pande and Erica Field (Harvard) and VWS are testingthis hypothesis by experimenting with new repayment schedules
Weekly vs. monthly Repayment schedules with a two-months moratorium
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Changing repayment schedules:
research design Research design
That way we know that both groups are entirely comparable, andthat differences between both groups will not be due to selection
We compare both groups across a loan cycle (transaction data,
and household survey)
150 groups newlyselected
Lottery
55 weekly 95 monthly
32 weeklymeetings
63 monthlymeetings
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Preliminary results and policy
implications Weekly repayment results in higher social capital (better knowledgeof each other, more interaction outside meetings)
People who repay monthly have to work more hours the day before
they repay, and are more likely to borrow from husbands or groupmembers to repay However this did not result in any difference in default rate Clients tend to prefer monthly schedules (51% of weekly clients, 71%
of monthly clients 37% and 16% for weekly) weekly clients alsorepay earlier
MFIs can potentially reduce their transaction costs through lessfrequent repayment schedules without significantly increasing theirrates of default
Context: first time loan clients with loans no greater than Rs. 4,000,and in districts with little MFI competition + relatively short termimpact
Exploring the social capital effects
Need to study the selection effect Need to experiment with more repayment schedules (flexible) Product design experiments
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The Joint liability innovation
Can do better than do better than conventional banking contractsincertain contexts
Members of a community may know more about one another (eachothers types, actions and states) than an outside institution such asa bank
A major source of market failure in credit markets is that a bankcannot apply financial sanctions against poor people who default ona loan In most societies, restrictions on the application of non-financial sanctions
(violence etc.)
Poor peoples neighbors, on the other hand, may be able to impose powerfulnon-financial sanctions at low cost
An institution that gives poor people the proper incentives to useinformation on their neighbors and to apply non-financial sanctions
to delinquent borrowers can out-perform a conventional bank.
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Joint liability: a myth?
After all, not all major microfinance banks use these.Bank Rakyat Indonesia uses collateral in addition to
dynamic incentives.
Xavier Gine, Dean Karlan, Philippines
Group liability vs. individual liability
Randomized experiment
Conversion to individual liability does not change therepayment rate for pre-existing borrowers, and alsoleads to higher growth in center size by both keepingmore pre-existing borrowers and attracting new ones.
This result was about monitoring need to do the sameto test selection effects
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Outline
Main research issues
Impact Quality
Debunking the microfinance myths What is psychology worth?
Integrating psychological and socialconstraints
Microfinance plus
Business training example
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An example of effect of
psychology Sendhil Mullainathan, Dean Karlan: What's Psychology
Worth? A Field Experiment in the Consumer Credit Market
Randomly chosen interest rates. Psychological features independently randomized.
Consistent with standard economics, the interest ratesignificantly affected loan take-up.
However, the psychological features also significantly affectedtake-up.
On average, any one psychological manipulation has the
same effect as a one half percentage point change in themonthly interest rate
The psychological features do not appear to draw inmarginally worse clients, nor does the magnitude of the
psychological effects vary systematically with income oreducation.
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Outline
Main research issues
Impact Quality
Debunking the microfinance myths What is psychology worth?
Integrating psychological and socialconstraints
Microfinance plus
Business training example
P h l i l d i l
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Psychological and social
constraints In theory, a savings product without commitment device should be more
attractive
If agents are completely rational and withdraw savings only when they reallyneed it
However, some individual are time inconsistent, i.e they are more impatientnow than later, and might not use their savings as optimally as they wouldhave wanted to
Savings commitment devices can help individuals protect themselves abouttheir desire to consume now
Can also be more attractive to women than to men because it is difficult forwomen to keep money from husband or family members
In theory could have effects on women empowerment
Indeed it is not clear in theory that transfers of income aloneto women canimprove their status in the household.
Marginal increases in income given to women may be bargained over in thesame way as existing income, and are therefore not guaranteed to lead to gainsin bargaining power.
What ma be more im ortant than rovidin access to additional sources of
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Savings commitment devices
Ashraf, Karlan and Yin (2006 and 2008): Study in the Philippines toevaluate a product (SEED) designed to help clients save by locking
away their money until they reached a self-specified savings goal (dateor amount)
Randomized Control Trial: 1,800 individuals were randomly assigned toeither receive an offer to open the SEED account (treatment) or not
(control) Of those offered the account, 28% opened the account
Strong effect on savings (after a year: 80% increase, 337 % for thosewho opened the account) -- after 2.5 years, differences between the
treatment and control groups smaller but still there Women who are time inconsistent (impatient now, but patient for
future trade-offs) are 15.8 percentage points more likely to take up.Result not true for men, which suggests intra-household control issues
going on Men and women could be equally time inconsistent, but women,
because of their financial responsibilities (women control the finances in
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Savings commitment devices
Singlewomen more likely to take up. Most unmarried womenlive in extended households - suggests familial control issues
for single women needing to find a mechanism to maintainsavings outside the control of the household head
After 2.5 years, look at the impact of this commitment savings
product on both self-reported decision making processeswithin the household and the subsequent householdallocation of resources
Significant increase in womens decision-making power within
the household, particularly for women who have belowmedian decision-making power in the baseline
Increase of the purchase of household-oriented durable
goods: this specialized account helped women to gain controlover household assets
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Savings commitment devices
Consistent with Dupas and Robinson (2008): women in Kenya weremore likely to take up a savings product with no interest and expensive
withdrawal Impact of the product on investment and ability to face shocks was high
for women (no impact on men), suggesting that they faced large,negative private returns on the money they save informally
Could be because women may have present-biased preferences, orbecause they may face constant demands on their income at home -suggestive evidence which suggests that both factors may be at work
In another study in the Philippines, joint-account offer had negative
impact on take-up for poor women, confirming that intra-householddecision making factors play an important role in affecting demand, andthat women demand products that give them control
Commitment savings products in womens name, by giving women
control and restricting access, have an effect on savings and womenempowerment
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Outline
Main research issues
Impact Quality
Debunking the microfinance myths What is psychology worth?
Integrating psychological and socialconstraints
Microfinance plus
Business training example
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Business training
Karlan and Valdivia (2008): Can one teach basic entrepreneurshipskills, or are they fixed personal characteristics? Original micro-credit
idea: only financial constraints RCT with FINCA in Peru: impact of adding business training (FFH
module ) to a group lending program for female microentrepreneurs.
Treatment groups received 30 to 60 minute entrepreneurship training
sessions during their normal weekly or monthly banking meeting overone to two years
The treatment led to improved business knowledge, practices andrevenues.
The program also improved repayment and client retention rates for themicrofinance institution (gains outweighed the costs) so microfinanceplus might make business sense
Larger effects found for those that expressed less interest in training
=> demand-driven market solutions may not be as simple as chargingfor the marginal cost of the services. Maybe need free trials
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Outline
Main research issues
Impact Quality
Debunking the microfinance myths What is psychology worth?
Integrating psychological and socialconstraints
Microfinance plus
Business training example
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References
Spandana evaluation:
http://ifmr.ac.in/cmf/research/ieumc.html Commitment savings:
http://research.yale.edu/karlan/downloads/SEED.pdf
http://research.yale.edu/karlan/downloads/Female_Empowerment_v15.pdf
Delivery financing product:
http://ifmr.ac.in/cifd/project1.htm
Business training:
http://research.yale.edu/karlan/downloads/TeachingEntrepreneurship.revision.final.pdf
http://ifmr.ac.in/cmf/research/ieumc.htmlhttp://research.yale.edu/karlan/downloads/Female_Empowerment_v15.pdfhttp://research.yale.edu/karlan/downloads/Female_Empowerment_v15.pdfhttp://ifmr.ac.in/cifd/project1.htmhttp://ifmr.ac.in/cifd/project1.htmhttp://research.yale.edu/karlan/downloads/Female_Empowerment_v15.pdfhttp://research.yale.edu/karlan/downloads/Female_Empowerment_v15.pdfhttp://ifmr.ac.in/cmf/research/ieumc.html