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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

    10

    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

    15

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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