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Targeting the Ultra Poor: An Impact Assessment

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Title: Targeting the Ultra Poor: An Impact Assessment


1
Targeting the Ultra Poor An Impact Assessment
2
Study Background Graduation Model
  • Graduation model based on Challenging the
    Frontiers of Poverty Reduction-Targeting the
    Ultra Poor (CFPR-TUP) program pioneered by BRAC
  • Model being replicated and evaluated
    (orchestrated by CGAP and the Ford Foundation in
    partnership with local organizations) in 9
    locations
  • Ethiopia, Haiti, Honduras, Pakistan, Peru, Yemen
    and India in three places (with Bandhan, SKS, and
    Trickle Up)

3
Overview
  • Program Objective (Bandhan)
  • To provide free income generating assets,
    training, and other assistance to help ultra poor
    households secure a regular source of income, and
    to graduate them to potential microfinance
    clients.
  • Study Objective (CMF)
  • CMFs study looks to measure the impact of this
    program in 3 blocks of Murshidabad district in
    West Bengal.
  • Is Bandhans THP program resulting in an
    improvement of socio-economic conditions for
    these ultra poor households?

4
Program and Intervention Design
  • Aim graduate the poorest of the poor to
    microfinance
  • Treatment households get to choose an income
    generating asset, and receive an allowance for
    30-45 weeks depending on the asset selected
  • Types of assets include livestock such as cows,
    goats, pigs, or a combination of these, as well
    as non-farm enterprises.
  • In approximately 18 months after receiving the
    asset and successfully retaining it,
    beneficiaries receive graduation training

5
Major findings
  • Consumption
  • Increase in food consumption for treatment group
  • mean difference of Rs. 64 per person per month
  • Incomes
  • Treatment Household income/per person increased
    by Rs 78/month (22) over control.

6
Major findings
  • Time Use
  • Adults in treatment households work more hours
    per day, on average, than adults in control
    households

7
Additional findings Non monetary transfers and
financial indicators
  • transfers / crowd out
  • treatment gives approximately 1 more meal per
    month (10 of mean) to other households
  • receive 50 less food gifts than control (Rs. 13
    vs Rs. 30 per month)
  • financial variables
  • no effect on credit (increased interest in
    borrowing)
  • increased formal savings (through Bandhan), not
    necessarily increased total savings

8
Additional Findings Financial Behaviour and
Confidence
  • Treatment households appear to borrow less from
    formal and informal sources, but the finding is
    not statistically significant.
  • Households score higher on an index of financial
    autonomy (can women take decisions on
    assets/operating savings accounts/household
    spending decisions)
  • Households express higher confidence in their
    ability to take loans and join savings groups
  • Possibly affected by survey connection with
    Bandhan

9
Findings Food Security
  • Treatment households report lower food insecurity
    than control households
  • Adults less likely to skip meals
  • Households are 7 more likely to report that they
    eat enough every day
  • Treatment households show higher self-perception
    of their household situation

10
Cost Benefit Analysis
  • Cost 331/beneficiary household
  • Monetary benefit estimated to be an income gain
    of 90/household/year
  • Will these gains persist over time?

11
Conclusion
  • positive effects 18 months after asset transfer
  • on consumption
  • other measures of well being (food security,
    emotional health)
  • non-agricultural enterprises appear important in
    income generation

12
Open Questions
  • Scale up from 3000 households to entire
    districts.
  • The role of monitoring and continual handholding
    and feedback
  • Can state governments and livelihood missions
    adopt some form of the program?

13
Research Team
  • Dr. Abhijit Banerjee, Dr. Esther Duflo, Dr.
    Jeremy Shapiro (MIT/JPAL)
  • Dr. Raghabendra Chattopadhyay (IIM-C)
  • Sudha Kant, Lakshmi Krishnan, Jyoti Mukhopadhyay,
    Abhay Agarwal, Deeptha Umpapathy, Projjal Saha
    (Centre for Microfinance)
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