This paper considers whether the inclusion of information contained in consumer credit reports might improve the predictive accuracy of forecasting models for consumption spending. To investigate the usefulness of aggregate consumer credit information in forecasting consumption spending, this...

By compiling a novel data set from bankruptcy court dockets recorded in Delaware between 2001 and 2002, the authors build and estimate a structural model of Chapter 13 bankruptcy. This allows them to quantify how key debtor characteristics, including whether they are experiencing bankruptcy for...

We exploit a natural experiment in the largest online consumer lending platform to provide the first evidence that loan terms, in particular maturity choice, can be used to screen borrowers based on their private information. We compare two groups of observationally equivalent borrowers who took...

We present a dynamic structural model of subprime adjustable-rate mortgage (ARM) borrowers making payment decisions, taking into account possible consequences of different degrees of delinquency from their lenders. We empirically implement the model using unique data sets that contain...

Gentrification has provoked considerable debate and controversy about its effects on neighborhoods and the people residing in them. This paper draws on a unique large-scale consumer credit database to examine the mobility patterns of residents in gentrifying neighborhoods in the city of...

Bankruptcy reform in 2005 eliminated debtors' ability to discharge private student loan debt in bankruptcy. This law aimed to reduce costly defaults by diminishing the perceived incentive of some private student loan borrowers to declare bankruptcy even if they had sufficient income to service...

This paper investigates the impact of uncertainty on consumer credit outcomes. We develop a local measure of economic uncertainty capturing county-level labor market shocks. We then exploit microeconomic data on mortgages and credit-card balances together with the crosssectional variation...

SUPERCEDES 14-28. This paper examines how a negative shock to the security of personal finances due to severe identity theft changes consumer credit behavior. Using a unique data set of linked consumer credit data and alerts indicating identity theft, we show that the immediate effects of fraud...

There have been considerable debate and controversy about the effects of gentrification on neighborhoods and the people residing in them. This paper draws on a unique large-scale consumer credit database to examine the relationship between gentrification and the credit scores of residents in the...

Can social influence effects help explain regional heterogeneity in refinancing activity? Neighborhood social influence effects have been shown to affect publicly observable decisions, but their role in private decisions, like refinancing, remains unclear. Using precisely geolocated data and a...