Difference-in-differences analysis reveals divergent shifts in violent and non-violent crime following credit market collapse, highlighting heterogeneous crime responses to financial shocks.
Understanding the root causes of crime is essential to reducing it, and doing so effectively requires reliable data across multiple indicators—including negative income shocks, credit constraints and debt burden. This article uses data from the India Human Development Survey to examine how the 2010 Andhra Pradesh microfinance crisis affected crime and household debt in the state, employing a differences-in-differences framework. The findings reveal severe financial constraints and a sharp rise in debt burden driven by collapsing credit availability. Crucially, violent crime and conflict increased while non-violent crime declined, a pattern consistent with a cost–benefit trade-off at work, corroborated by both theoretical and historical empirical evidence. The key policy implication is that income shocks do not produce uniform effects across crime indicators; the nature of the crime shapes how its costs and benefits shift in response. Anticipating this heterogeneity is essential to containing the broader fallout of such crises.
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Malvika Mahesh (2026) studied this question.
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