Measuring the Equilibrium Impacts of Credit: Evidence from the Indian Microfinance Crisis

Working Paper: NBER ID: w24329

Authors: Emily Breza; Cynthia Kinnan

Abstract: In October 2010, the state government of Andhra Pradesh, India issued an emergency ordinance, bringing microfinance activities in the state to a complete halt and causing a nation-wide shock to the liquidity of lenders, especially those with loans in the affected state. We use this massive dislocation in the microfinance market to identify the causal impacts of a reduction in credit supply on consumption, earnings, and employment in general equilibrium in rural labor markets. Using a proprietary district-level data set from 25 separate, for-profit microlenders matched with household data from the National Sample Survey, we find that district-level reductions in credit supply are associated with significant decreases in casual daily wages, household wage earnings and consumption. We find a substantial consumption multiplier from credit that is likely driven by two channels – aggregate demand and business investment. We calibrate a simple two-period, two-sector model of the rural economy that incorporates both channels and show that the magnitude of our wage results is consistent with the model’s predictions.

Keywords: Microfinance; Credit Supply; Consumption; Labor Markets; India

JEL Codes: D50; G21; O16


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
Credit supply shock (E51)Decrease in casual daily wages (J31)
Credit supply shock (E51)Decrease in household wage earnings (J31)
Credit supply shock (E51)Decrease in consumption (E21)
Decrease in credit supply (E51)Decrease in consumption (E21)
Decrease in credit supply (E51)Decrease in firm liquidity (G33)
Decrease in firm liquidity (G33)Decrease in hiring (J63)
Credit supply shock (E51)Aggregate demand decrease (E41)
Aggregate demand decrease (E41)Decrease in consumption (E21)
Credit supply shock (E51)Decrease in non-agricultural sector outcomes (F69)

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