2017
DOI: 10.21799/frbp.wp.2017.27
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Credit Enforcement Cycles

Abstract: Empirical evidence suggests that widespread financial distress, by disrupting enforcement of credit contracts, can be self-propagatory and adversely affect the supply of credit. We propose a unifying theory that models the interplay between enforcement, borrower default decisions, and the provision of credit. The central tenets of our framework are the presence of capacity constrained enforcement and borrower heterogeneity. We show that, despite heterogeneity, borrowers tend to coordinate their default choices… Show more

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Cited by 2 publications
(2 citation statements)
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“…6 The work by Drozd and Serrano-Padial (2016), which studies credit enforcement, also features heterogeneous agents in an environment with strategic complementarities. Recent work by Kacperczyk, Nosal and Sundaresan (2017) studies the effect of large players in a model of financial market trading and information acquisition.…”
Section: Introductionmentioning
confidence: 99%
“…6 The work by Drozd and Serrano-Padial (2016), which studies credit enforcement, also features heterogeneous agents in an environment with strategic complementarities. Recent work by Kacperczyk, Nosal and Sundaresan (2017) studies the effect of large players in a model of financial market trading and information acquisition.…”
Section: Introductionmentioning
confidence: 99%
“…Existing research shows that demand for credit card loans and other forms of unsecured debt is countercyclical and increases when households become more liquidity constrained (Drozd and Kowalik, 2018;Collins, Edwards, and Schmeiser, 2015;Sullivan, 2008;Bird, Hagstrom, and Wild, 1999). Instead of a bias away from zero, the countercyclical relationship creates a bias toward zero for the interaction between job loss and credit card loans, and we view our estimate of β 2 in Equation 3 as a conservative lower bound of credit card loans' moderating effect on college-persistence rates.…”
Section: Analysis 2: Credit Card Loans As a Liquidity Buffermentioning
confidence: 99%