Selection into Credit Markets: Evidence from Agriculture in Mali

Working Paper: NBER ID: w20387

Authors: Lori Beaman; Dean Karlan; Bram Thuysbaert; Christopher Udry

Abstract: We examine whether returns to capital are higher for farmers who borrow than for those who do not, a direct implication of many credit market models. We measure the difference in returns through a two-stage loan and grant experiment. We find large positive investment responses and returns to grants for a random (representative) sample of farmers, showing that liquidity constraints bind. However, we find zero returns to grants for a sample of farmers who endogenously did not borrow. Thus we find important heterogeneity, even conditional on a wide range of observed characteristics, which has critical implications for theory and policy.

Keywords: credit markets; agriculture; Mali; randomized controlled trial; microfinance

JEL Codes: D21; D92; O12; O16; Q12; Q14


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Higher marginal returns to capital (D29)Selection into borrowing (G51)
High-return farmers (Q12)More likely to select into borrowing (G51)
High-return households among extremely poor (G59)Inefficient allocation of credit (E51)
Loans (H81)Higher returns to investment (G11)
Grants (H81)Higher agricultural profits in no-loan villages (Q14)
Non-borrowers (G51)Lower average returns to grants (I26)
Borrowing households (G51)Increased farm output with grants (Q16)
Non-borrowers (G51)Limited increase in output with grants (H81)

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