Selection Into Credit Markets: Evidence From Agriculture in Mali

S-Tier
Journal: Econometrica
Year: 2023
Volume: 91
Issue: 5
Pages: 1595-1627

Authors (4)

Lori Beaman (not in RePEc) Dean Karlan (Northwestern University) Bram Thuysbaert (not in RePEc) Christopher Udry (Northwestern University)

Score contribution per author:

2.011 = (α=2.01 / 4 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We use a two‐stage experiment on agricultural lending in Mali to test whether selection into lending is predictive of heterogeneous returns to capital. Understanding this heterogeneity, and the selection process which reveals it, is critical for guiding modeling of credit markets in developing countries, as well as for policy. We find such heterogeneity: returns to capital are higher for farmers who borrow than for those who do not. In our first stage, we offer loans in some villages and not others. In the second stage, we provide cash grants to a random subset of all farmers in villages where no loans were offered, and to a random subset of the farmers who do not borrow in villages where loans were offered. We estimate seasonal returns to the grant of 130% for would‐be borrowers, whereas we find returns near zero for the sample representative of non‐borrowers. We also provide evidence that there are some farmers—particularly those that are poor at baseline—that have high returns but do not receive a loan.

Technical Details

RePEc Handle
repec:wly:emetrp:v:91:y:2023:i:5:p:1595-1627
Journal Field
General
Author Count
4
Added to Database
2026-01-25