2012
DOI: 10.1016/j.jeconom.2012.06.010
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A Bayesian analysis of payday loans and their regulation

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Cited by 12 publications
(7 citation statements)
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“…To study the policy implications of changing the number of rollovers allowed, Li, Mumford, and Tobias () use online payday loan data to simulate the effect of changing state laws from allowing unlimited rollovers to allowing no rollovers. They estimate that this change would have no impact on the size of the loan taken out and would slightly decrease the probability of default.…”
Section: Background On Payday Loans and Pawnshopsmentioning
confidence: 99%
“…To study the policy implications of changing the number of rollovers allowed, Li, Mumford, and Tobias () use online payday loan data to simulate the effect of changing state laws from allowing unlimited rollovers to allowing no rollovers. They estimate that this change would have no impact on the size of the loan taken out and would slightly decrease the probability of default.…”
Section: Background On Payday Loans and Pawnshopsmentioning
confidence: 99%
“…Dobbie and Skiba (2013) find that 19% of initial payday loans go into default. The adverse selection that Dobbie and Skiba find in their data is even worse in the online payday lending market: Li, Mumford, and Tobias (2012) find that the default rate from an online lender was 28%; Rigbi (2013) finds a default rate of 19.4%.…”
Section: Are Interest Rate Caps An Effective Payday Ban?mentioning
confidence: 96%
“…Consistent with concerns about debt spirals, Burke et al (2014) report that consumers renew 82% of payday loans within 14 days and Skiba and Tobacman (2019) suggest that payday loans may lead to bankruptcy. Using a structural model, Li et al (2012) examine how limiting “rollovers,” or repeat loans, would affect consumers. They find that limiting payday loan rollovers slightly increases default risk, as forcing consumers to repay in full makes them more likely to default.…”
Section: Literature Reviewmentioning
confidence: 99%