Using a unique dataset that merges bankruptcy and motor events with personal data in Singapore, this study finds significant evidence of gender gap in personal bankruptcy risk. We show that the women' odds in bankruptcy events is 28% of the men's odds controlling for demographic, housing types...

SUPRSEDES WP 18-16 We examine whether relative income differences among peers can generate financial distress. Using lottery winnings as plausibly exogenous variations in the relative income of peers, we find that the dollar magnitude of a lottery win of one neighbor increases subsequent...

Revised Oct 2016. We test the hypothesis that income inequality causes financial distress. To identify the effect of income inequality, we examine lottery prizes of random dollar magnitudes in the context of very small neighborhoods (13 households on average). We find that a C$1,000 increase in...

This paper uses a dataset from one of the leading subprime lenders in America, containing detailed information on borrower and loan characteristics, finds that borrowers from the financial industry, who have higher financial literacy, are less likely to default. This effect cannot be explained...

We use a linked housing transaction dataset and a personal bankruptcy dataset to study the impact of housing credit on personal bankruptcy in Singapore. Using a difference-in-differences (DD) approach, we find that an increase in housing credit increases the monthly instalment by 560-900...