Visaria distributive iems_mar2017
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Transcript of Visaria distributive iems_mar2017
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Finding the Diamonds in the RoughThe Equity Impacts of Targeting Smallholder Agricultural Credit
Pushkar Maitra, Sandip Mitra, Dilip Mookherjee,Sujata Visaria
HKUST Institute for Emerging Market Studies
9 March 2017
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 1 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Targeting Private Benefits
How should governments choose the recipients of privatebenefits?
I subsidies: food, fertilizerI transfer payments: pensions
Centralized schemes: lack of information
Decentralized schemes: corruption & elite capture
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 2 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Targeting Private Benefits
How should governments choose the recipients of privatebenefits?
I subsidies: food, fertilizerI transfer payments: pensions
Centralized schemes: lack of information
Decentralized schemes: corruption & elite capture
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 2 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Targeting Private Benefits
How should governments choose the recipients of privatebenefits?
I subsidies: food, fertilizerI transfer payments: pensions
Centralized schemes: lack of information
Decentralized schemes: corruption & elite capture
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 2 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Smallholder Agricultural Credit
Designing agricultural credit programs for small farmers
State-sponsored efforts: poor information leads to high default
Microcredit: high repayment, but does not usually targetagriculture
Can we design a scheme thatI leverages local information? andI avoids problems of elite capture?
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 3 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Agent-intermediated Lending
MMMMV (2017) designed an alternative credit deliverymechanism (AIL):
I Leverages local information, but differentlyI Individual liability loansI Borrowers recommended by a local “agent” embedded in the
communityI Agent incentivized by commissions that depend on repayment
Field experiment in 48 villages
TRAIL loans had positive significant average impacts on farmvalue-added: 22%
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 4 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Agent-intermediated Lending
MMMMV (2017) designed an alternative credit deliverymechanism (AIL):
I Leverages local information, but differentlyI Individual liability loansI Borrowers recommended by a local “agent” embedded in the
communityI Agent incentivized by commissions that depend on repayment
Field experiment in 48 villages
TRAIL loans had positive significant average impacts on farmvalue-added: 22%
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 4 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Agent-intermediated Lending
MMMMV (2017) designed an alternative credit deliverymechanism (AIL):
I Leverages local information, but differentlyI Individual liability loansI Borrowers recommended by a local “agent” embedded in the
communityI Agent incentivized by commissions that depend on repayment
Field experiment in 48 villages
TRAIL loans had positive significant average impacts on farmvalue-added: 22%
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 4 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Average Treatment Effects: Farm and Non-FarmIncome (Efficiency)
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 5 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
The Mechanism
TRAIL agents are more likely to select “able” borrowersI high productivityI low risk of crop failure
Positive impacts are larger for the more able farmers
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 6 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
The Mechanism
TRAIL agents are more likely to select “able” borrowersI high productivityI low risk of crop failure
Positive impacts are larger for the more able farmers
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 6 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
The Comparison: Group-based Lending
Group-based lending involves self-selected borrower groups
Joint liability lending
Participation does not require recommendation by an agent
Both high and low ability individuals will form groups
Because both pay lower interest rates on GBL loans than thestatus quo
GBL loans had non-significant average impacts on farmvalue-added
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 7 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
The Comparison: Group-based Lending
Group-based lending involves self-selected borrower groups
Joint liability lending
Participation does not require recommendation by an agent
Both high and low ability individuals will form groups
Because both pay lower interest rates on GBL loans than thestatus quo
GBL loans had non-significant average impacts on farmvalue-added
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 7 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
The Comparison: Group-based Lending
Group-based lending involves self-selected borrower groups
Joint liability lending
Participation does not require recommendation by an agent
Both high and low ability individuals will form groups
Because both pay lower interest rates on GBL loans than thestatus quo
GBL loans had non-significant average impacts on farmvalue-added
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 7 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Average Treatment Effects: Farm and Non-FarmIncome (Efficiency)
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 8 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Research Question: Equity Impacts
Previous work examines the relative efficiency impacts
Welfare impacts depend on both efficiency and equity impacts
Could GBL dominate TRAIL on equity grounds?
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 9 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Research Question: Equity Impacts
Previous work examines the relative efficiency impacts
Welfare impacts depend on both efficiency and equity impacts
Could GBL dominate TRAIL on equity grounds?
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 9 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Why Worry?
MMMMV (2017): 30-40% of the efficiency impact of TRAILdue to borrower selection:
I TRAIL agents selected borrowers who were more productive
Productive borrowers may also be wealthier/higher SES tobegin with
TRAIL could amplify these differences
Efficiency gains, but at the cost of equity?
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 10 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Why Worry?
MMMMV (2017): 30-40% of the efficiency impact of TRAILdue to borrower selection:
I TRAIL agents selected borrowers who were more productive
Productive borrowers may also be wealthier/higher SES tobegin with
TRAIL could amplify these differences
Efficiency gains, but at the cost of equity?
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 10 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Aggregate Welfare Impacts
We estimate the scheme’s impact on aggregate welfareI depends on both efficiency and equity
By partitioning householdsI by landholdingI by social group: religion/caste
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 11 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
How we estimate welfare impacts
Question: If the scheme was introduced into a village, by howmuch would the welfare of representative household change?
Problem: selection into the scheme was NOT random
Average TRAIL borrower NOT representative of population
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 12 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
How we estimate welfare impacts
Question: If the scheme was introduced into a village, by howmuch would the welfare of representative household change?
Problem: selection into the scheme was NOT random
Average TRAIL borrower NOT representative of population
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 12 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
How we estimate welfare impacts
Question: If the scheme was introduced into a village, by howmuch would the welfare of representative household change?
Problem: selection into the scheme was NOT random
Average TRAIL borrower NOT representative of population
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 12 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
How we estimate welfare impacts, contd.
Question: If the scheme was introduced into a village, by howmuch would the income of representative household change?
That depends on:I does that household participate in the scheme (pg )?I if it participates, how much does its income change (CTEg )?
Expected income effect for group g = pg × CTEg
Use welfare functions to infer welfare effectsI with different assumptions about inequality aversion
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 13 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
How we estimate welfare impacts, contd.
Question: If the scheme was introduced into a village, by howmuch would the income of representative household change?
That depends on:I does that household participate in the scheme (pg )?
I if it participates, how much does its income change (CTEg )?
Expected income effect for group g = pg × CTEg
Use welfare functions to infer welfare effectsI with different assumptions about inequality aversion
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 13 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
How we estimate welfare impacts, contd.
Question: If the scheme was introduced into a village, by howmuch would the income of representative household change?
That depends on:I does that household participate in the scheme (pg )?I if it participates, how much does its income change (CTEg )?
Expected income effect for group g = pg × CTEg
Use welfare functions to infer welfare effectsI with different assumptions about inequality aversion
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 13 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
How we estimate welfare impacts, contd.
Question: If the scheme was introduced into a village, by howmuch would the income of representative household change?
That depends on:I does that household participate in the scheme (pg )?I if it participates, how much does its income change (CTEg )?
Expected income effect for group g = pg × CTEg
Use welfare functions to infer welfare effectsI with different assumptions about inequality aversion
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 13 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
How we estimate welfare impacts, contd.
Question: If the scheme was introduced into a village, by howmuch would the income of representative household change?
That depends on:I does that household participate in the scheme (pg )?I if it participates, how much does its income change (CTEg )?
Expected income effect for group g = pg × CTEg
Use welfare functions to infer welfare effectsI with different assumptions about inequality aversion
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 13 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
TRAIL Features
Agent is selected randomly from list of establishedtrader/lenders in any given village
Agent recommends 30 borrowers from among landless ormarginal landowners (≤ 1.5 acres)
I subset of these are chosen randomly to receive offer of TRAILloans
Agent plays no further role: MFI sets loan terms, directlylends to and collects repayments from borrowers
No group meetings, savings requirements or genderrestrictions
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 14 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
TRAIL Features
Agent is selected randomly from list of establishedtrader/lenders in any given village
Agent recommends 30 borrowers from among landless ormarginal landowners (≤ 1.5 acres)
I subset of these are chosen randomly to receive offer of TRAILloans
Agent plays no further role: MFI sets loan terms, directlylends to and collects repayments from borrowers
No group meetings, savings requirements or genderrestrictions
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 14 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
TRAIL Features
Agent is selected randomly from list of establishedtrader/lenders in any given village
Agent recommends 30 borrowers from among landless ormarginal landowners (≤ 1.5 acres)
I subset of these are chosen randomly to receive offer of TRAILloans
Agent plays no further role: MFI sets loan terms, directlylends to and collects repayments from borrowers
No group meetings, savings requirements or genderrestrictions
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 14 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
TRAIL Features
Agent is selected randomly from list of establishedtrader/lenders in any given village
Agent recommends 30 borrowers from among landless ormarginal landowners (≤ 1.5 acres)
I subset of these are chosen randomly to receive offer of TRAILloans
Agent plays no further role: MFI sets loan terms, directlylends to and collects repayments from borrowers
No group meetings, savings requirements or genderrestrictions
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 14 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
TRAIL Loan Features
Loan interest rate pegged at below average rates on informalcredit in the village
Dynamic borrower incentives: start with small loans, futurecredit access grows at fast rate based on current repayment
*Loan durations/timing: 4 months, match key-crop cycles
*Insurance against covariate (price-yield) risks
*Doorstep banking, no bank accounts
(*: non-standard)
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 15 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
The Group Based Lending Scheme
Same loan features as TRAIL loans, except:I 5-member self-formed groups of borrowersI joint liabilityI monthly group meetingsI savings requirements
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 16 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Experimental Setting
Two potato-growing districts in a state in eastern India
48 villages randomly assigned to:I TRAIL scheme: 24I GBL scheme: 24
Collaborated with a microfinance institution
8 4-month cycles: Sept 2010 - July 2013
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 17 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Partitions
Land classI LandlessI 0-0.5 acresI 0.5-1 acreI 1-1.5 acres
Social groupI scheduled castes/scheduled tribesI non-HindusI general caste Hindus
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 18 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Partitions
Land classI LandlessI 0-0.5 acresI 0.5-1 acreI 1-1.5 acres
Social groupI scheduled castes/scheduled tribesI non-HindusI general caste Hindus
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 18 / 50
HH Characteristics by Land Class
Average Landless 0–0.5 acres 0.5–1.0 acres 1.0–1.5 acres(1) (2) (3) (4) (5)
Head’s education: primary school or more 0.420 0.211 0.366 0.552 0.654(0.011) (0.019) (0.017) (0.021) (0.031)
Head’s primary occupation: cultivation 0.438 0.057 0.374 0.692 0.726(0.011) (0.011) (0.017) (0.020) (0.029)
Head’s primary occupation: casual labor 0.332 0.673 0.409 0.091 0.043(0.010) (0.022) (0.017) (0.012) (0.013)
Landholding (Acres) 0.464 0.000 0.261 0.755 1.237(0.009) (0.000) (0.005) (0.006) (0.009)
Pucca house 0.273 0.171 0.259 0.324 0.377(0.010) (0.018) (0.015) (0.020) (0.031)
Electrified house 0.750 0.634 0.733 0.824 0.838(0.010) (0.023) (0.015) (0.016) (0.024)
Owns radio/TV/VCR/DVD 0.452 0.325 0.398 0.543 0.636(0.011) (0.022) (0.017) (0.021) (0.031)
Owns motorized vehicle 0.127 0.068 0.073 0.181 0.272(0.007) (0.012) (0.009) (0.016) (0.029)
Owns phone (mobile or landline) 0.591 0.420 0.536 0.712 0.781(0.011) (0.023) (0.017) (0.019) (0.027)
Has savings bank account 0.446 0.250 0.414 0.542 0.667(0.011) (0.020) (0.017) (0.021) (0.030)
Has insurance policy 0.286 0.139 0.247 0.375 0.461(0.010) (0.016) (0.015) (0.021) (0.032)
HH Characteristics by Social Group
Total SC/ST Non-Hindu General(1) (2) (3) (4)
Head’s education: primary school or more 0.420 0.222 0.317 0.614(0.011) (0.015) (0.025) (0.016)
Head’s primary occupation: cultivation 0.439 0.284 0.432 0.560(0.011) (0.017) (0.026) (0.016)
Head?s primary occupation: casual labor 0.331 0.562 0.276 0.176(0.010) (0.018) (0.024) (0.012)
Landholding (acres) 0.465 0.293 0.482 0.590(0.009) (0.013) (0.022) (0.014)
Pucca house 0.273 0.112 0.329 0.376(0.010) (0.012) (0.025) (0.016)
Electrified house 0.750 0.604 0.792 0.846(0.010) (0.018) (0.022) (0.012)
Own a radio/ TV/ VCR/ DVD 0.453 0.318 0.387 0.583(0.011) (0.017) (0.026) (0.016)
Owns motorized vehicle 0.126 0.030 0.155 0.189(0.007) (0.006) (0.019) (0.013)
Owns phone (mobile or landline) 0.590 0.413 0.691 0.687(0.011) (0.018) (0.025) (0.015)
Has savings bank account 0.446 0.284 0.408 0.586(0.011) (0.017) (0.026) (0.016)
Has insurance policy 0.287 0.161 0.237 0.403(0.010) (0.013) (0.023) (0.016)
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Land Class
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 21 / 50
Step 1: Selection Frequencies pg
pg =number of g hhs selected
total number of g hhs
selected =I recommended by TRAIL agentsI self-selected into GBL groups
selection 6= take-up
only households with ≤ 1.5 acres of land considered
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 1: Selection Frequencies, contd.
0.059
0.073 0.074
0.054
0.068
0.040
0.070
0.032
0.0
5.1
Landless Land 0-0.5 Land 0.5-1.0 Land 1.0-1.5
TRAIL GBL
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 23 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Selection Frequencies by Land Class
the landless have a slightly lower selection frequency inTRAIL than in GBL
TRAIL: across land classes, selection frequencies are verysimilar
GBL: selection frequencies fall as landholding increases
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 24 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 2: CTEs, by land
-200
000
2000
0
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
TRAIL, absolute
-200
000
2000
0
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
GBL, absolute
Conditional Treatment Effects, by Land
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 25 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 2: CTEs, by land
-200
000
2000
0
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
TRAIL, absolute
-200
000
2000
0
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
GBL, absolute
Conditional Treatment Effects, by Land
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 25 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Absolute v. Proportional CTEs, by land: TRAIL
010
000
2000
0
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
TRAIL, absolute
-10
12
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
TRAIL, relative
Conditional Treatment Effects, by Land
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 26 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Absolute v. Proportional CTEs, by land: TRAIL
010
000
2000
0
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
TRAIL, absolute
-10
12
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
TRAIL, relative
Conditional Treatment Effects, by Land
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 26 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Absolute v. Proportional CTEs, by land: GBL
-200
00-1
0000
010
000
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
GBL, absolute
-.50
.51
1.5
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
GBL, relative
Conditional Treatment Effects, by Land
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 27 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 3: Expected treatment effects on income
-.01
0.0
1.0
2.0
3.0
4.0
5ty
_g
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
TRAIL, relative
-.01
0.0
1.0
2.0
3.0
4.0
5ty
_g
Landless0-0.5 acres
0.5-1 acres1-1.5 acres
GBL, relative
Expected Proportional Treatment Effects, by Land
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 28 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 4: Change in welfare, θ = 0
-10
12
3rd
w
TRAIL GBL
theta=0
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 29 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 4: Change in welfare, θ = 0
-10
12
3rd
w
TRAIL GBL
theta=0
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 29 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 4: Change in welfare, θ = 1
0.0
5.1
.15
.2rd
w
TRAIL GBL
theta=1
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 30 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 4: Change in welfare, θ = 2
200
400
600
800
1000
1200
rdw
TRAIL GBL
theta=2
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 31 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 4: Change in welfare, θ = 3
050
0000
1.0e
+06
1.5e
+06
2.0e
+06
rdw
TRAIL GBL
theta=3
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 32 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 4: Change in welfare, θ = 4
01.
0e+0
92.
0e+0
93.
0e+0
9rd
w
TRAIL GBL
theta=4
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 33 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 4: Change in welfare, θ = 5
01.
0e+1
22.
0e+1
23.
0e+1
24.
0e+1
2rd
w
TRAIL GBL
theta=5
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 34 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Social Group
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 35 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 1: Selection frequencies
0.073 0.073
0.066
0.050
0.064
0.037
0.0
5.1
SC/ST Non-Hindu General
Probabilities of selection
TRAIL GBL
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 36 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 2: CTEs, by social group
-500
00
5000
SC/STNon-Hindu
General
TRAIL, absolute
-500
00
5000
SC/STNon-Hindu
General
GBL, absolute
Conditional Treatment Effects, by Social Group
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 37 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Absolute v. Proportional CTEs, by social group:TRAIL
050
0010
000
SC/STNon-Hindu
General
TRAIL, absolute
0.5
1
SC/STNon-Hindu
General
TRAIL, relative
Conditional Treatment Effects, by Social Group
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 38 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Absolute v. Proportional CTEs, by social group:GBL
-500
00
5000
SC/STNon-Hindu
General
GBL, absolute
-.50
.5
SC/STNon-Hindu
General
GBL, relative
Conditional Treatment Effects, by Social Group
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 39 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 3: Expected treatment effects, by socialgroup
-.01
0.0
1.0
2.0
3.0
4.0
5ty
_g
SC/STNon-Hindu
General
TRAIL, relative
-.01
0.0
1.0
2.0
3.0
4.0
5ty
_g
SC/STNon-Hindu
General
GBL, relative
Expected Proportional Treatment Effects, by Social Group
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 40 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 4: Change in welfare, θ = 0
0.0
05.0
1.0
15.0
2.0
25rd
w
TRAIL GBL
theta=0
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 41 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 3: Change in welfare, θ = 4
5.0e
+06
1.0e
+07
1.5e
+07
2.0e
+07
rdw
TRAIL GBL
theta=4
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 42 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Step 3: Change in welfare, θ = 5
1.0e
+09
2.0e
+09
3.0e
+09
4.0e
+09
5.0e
+09
6.0e
+09
rdw
TRAIL GBL
theta=5
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 43 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Changes in Inequality
θ = 1 θ = 2 θ = 3 θ = 4 θ = 5(1) (2) (3) (4) (5)
Panel A: TRAILBaseline 0.3249 0.7236 0.8632 0.9051 0.9234Endline 0.3205 0.7217 0.8630 0.9053 0.9237Effect on inequality ↓ ↓ ↓ ↑ ↑
Panel B: GBLBaseline 0.3662 0.8139 0.9247 0.9517 0.9625Endline 0.3594 0.7947 0.9123 0.9431 0.9561Effect on inequality ↓ ↓ ↓ ↓ ↓
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 44 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Discussion
The evidence that TRAIL was elitist is limited.
I Comparing landless borrowers:F in TRAIL had lower baseline farm income than in GBL
In fact, GBL might be keeping outI both the high wealth/high status householdsI and the poorest among the low wealth households
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 45 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Discussion
The evidence that TRAIL was elitist is limited.I Comparing landless borrowers:
F in TRAIL had lower baseline farm income than in GBL
In fact, GBL might be keeping outI both the high wealth/high status householdsI and the poorest among the low wealth households
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 45 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Discussion
The evidence that TRAIL was elitist is limited.I Comparing landless borrowers:
F in TRAIL had lower baseline farm income than in GBL
In fact, GBL might be keeping outI both the high wealth/high status householdsI and the poorest among the low wealth households
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 45 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Selection by TRAIL agentControl 1 households Representative sample Difference
Panel A: Bought from agentLandless 0.233 0.280 -0.047
(0.079) (0.092) (0.120)0–0.5 acres 0.523 0.333 0.190***
(0.048) (0.040) (0.062)0.5–1 acres 0.339 0.365 -0.026
(0.062) (0.047) (0.078)1–1.5 acres 0.318 0.488 -0.170
(0.102) (0.079) (0.131)
Panel B: Borrowed from agentLandless 0.067 0.167 -0.100
(0.046) (0.078) (0.087)0–0.5 acres 0.349 0.107 0.241***
(0.046) (0.026) (0.050)0.5–1 acres 0.233 0.173 0.060
(0.055) (0.037) (0.064)1–1.5 acres 0.227 0.220 0.008
(0.091) (0.066) (0.112)
Panel C: Worked for agentLandless 0.167 0.000 0.167**
(0.069) (0.000) (0.078)0–0.5 acres 0.182 0.083 0.098**
(0.037) (0.023) (0.042)0.5–1 acres 0.133 0.086 0.048
(0.044) (0.027) (0.049)1–1.5 acres 0.000 0.098 -0.098
(0.000) (0.047) (0.064)
Panel D: Same social group as agentLandless 0.353 0.222 0.131
(0.083) (0.082) (0.118)0–0.5 acres 0.504 0.543 -0.039
(0.047) (0.041) (0.062)0.5–1 acres 0.672 0.517 0.155**
(0.059) (0.047) (0.077)1–1.5 acres 0.913 0.689 0.224**
(0.060) (0.070) (0.107)MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 46 / 50
Social Capital in GBL Groups
Total SC/ST Non-Hindu General(1) (2) (3) (4)
Invited by group members 0.583 0.536 0.800 0.558(0.032) (0.048) (0.069) (0.051)
Encouraged by officials to join group 0.417 0.464 0.200 0.442(0.032) (0.048) (0.069) (0.051)
Received assistance from others in the group (Cycle 1) 0.248 0.239 0.361 0.216(0.028) (0.040) (0.081) (0.042)
Provided assistance to others in the group (Cycle 1) 0.124 0.080 0.171 0.158(0.021) (0.026) (0.065) (0.038)
Proportion members with same occupation 0.624 0.616 0.598 0.642(0.015) (0.022) (0.036) (0.023)
Proportion members with same education level 0.530 0.520 0.594 0.516(0.012) (0.019) (0.034) (0.018)
Proportion members in same social group 0.522 0.732 0.887 0.192(0.027) (0.038) (0.044) (0.033)
Herfindahl Index by social group 0.762 0.873 0.940 0.593(0.014) (0.019) (0.024) (0.019)
Coefficient of variation of landholding 0.999 1.217 0.975 0.805(0.035) (0.060) (0.075) (0.044)
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Summary of Results
Compare welfare impacts of two alternative credit deliverymodels
TRAIL is not more elitist than GBL
When partitioning by landholding:I TRAIL generates higher average gains and benefits the
landless more than GBLI As a result it dominates GBL.
When partitioning by social group:I TRAIL: High status group outperforms other groupsI GBL: Low status groups outperform high status groupsI Point estimates indicate larger welfare in GBL under high θI But differences are not statistically significant
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 48 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Summary of Results
Compare welfare impacts of two alternative credit deliverymodels
TRAIL is not more elitist than GBL
When partitioning by landholding:I TRAIL generates higher average gains and benefits the
landless more than GBLI As a result it dominates GBL.
When partitioning by social group:I TRAIL: High status group outperforms other groupsI GBL: Low status groups outperform high status groupsI Point estimates indicate larger welfare in GBL under high θI But differences are not statistically significant
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 48 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Summary of Results
Compare welfare impacts of two alternative credit deliverymodels
TRAIL is not more elitist than GBL
When partitioning by landholding:I TRAIL generates higher average gains and benefits the
landless more than GBLI As a result it dominates GBL.
When partitioning by social group:I TRAIL: High status group outperforms other groupsI GBL: Low status groups outperform high status groupsI Point estimates indicate larger welfare in GBL under high θI But differences are not statistically significant
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 48 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Conclusion
Our previous work indicates that TRAIL is superior to GBLfrom an efficiency standpoint.
From an equity standpoint:I Clear evidence from land partitioning that it outperforms GBLI Less clear evidence from social group partitioning
F differences depend on θ valuesF lack statistical significance
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 49 / 50
Equity Impacts ofTargeting Credit
MMMV
Motivation
Equity Impacts
TRAIL & GBL
Partitions
Results
Land
Social Group
Inequality
Mechanisms
Conclusion
Thank you!
MMMV (Mar 2017) Equity Impacts of Targeting Credit Mar 2017 50 / 50