Benjamin L. Collier|Cameron M. Ellis|Benjamin J. Keys
How do collateral requirements impact consumer borrowing behavior? Using administrative loan application and performance data from the U.S. Federal Disaster Loan Program, we exploit a loan amount threshold above which households must post their residence as collateral. Our bunching estimates suggest that the median borrower is willing to give up 40% of their loan amount to avoid posting collateral. Exploiting time variation in the threshold, we estimate collateral causally reduces default rates by 36%. Finally, we structurally estimate households' attachment to their homes, net of any equity, and find a median value of $11,000. Attachment creates a wedge between lender and borrower valuation of collateral of 15%. Our results explain high perceived default costs in the mortgage market, and document the importance of collateral for reducing moral hazard in consumer credit markets.
MLA
Collier, Benjamin L., et al. “The Cost of Consumer Collateral: Evidence from Bunching.” Econometrica, vol. 93, .no 3, Econometric Society, 2025, pp. 779-819, https://doi.org/10.3982/ECTA22303
Chicago
Collier, Benjamin L., Cameron M. Ellis, and Benjamin J. Keys. “The Cost of Consumer Collateral: Evidence from Bunching.” Econometrica, 93, .no 3, (Econometric Society: 2025), 779-819. https://doi.org/10.3982/ECTA22303
APA
Collier, B. L., Ellis, C. M., & Keys, B. J. (2025). The Cost of Consumer Collateral: Evidence from Bunching. Econometrica, 93(3), 779-819. https://doi.org/10.3982/ECTA22303
Supplement to "The Cost of Consumer Collateral: Evidence from Bunching"
Benjamin L. Collier, Cameron M. Ellis, and Benjamin J. Keys
How do collateral requirements impact consumer borrowing behavior? Using administrative loan application and performance data from the U.S. Federal Disaster Loan Program, we exploit a loan amount threshold above which households must post their residence as collateral. Our bunching estimates suggest that the median borrower is willing to give up 40% of their loan amount to avoid posting collateral. Exploiting time variation in the threshold, we estimate collateral causally reduces default rates by 36%. Finally, we structurally estimate households’ attachment to their homes, net of any equity, and find a median value of $11,000. Attachment creates a wedge between lender and borrower valuation of collateral of 15%. Our results explain high perceived default costs in the mortgage market, and document the importance of collateral for reducing moral hazard in consumer credit markets.
Supplement to "The Cost of Consumer Collateral: Evidence from Bunching"
Benjamin L. Collier, Cameron M. Ellis, and Benjamin J. Keys
The replication package for this paper is available at \url{https://doi.org/10.5281/zenodo.14871772}. The authors were granted an exemption to publish parts of their data because either access to these data is restricted or the authors do not have the right to republish them. However, the authors included in the package, on top of the codes and the parts of the data that are not subject to the exemption, a simulated or synthetic dataset that allows running the codes. The Journal checked the data and the codes for their ability to generate all tables and figures in the paper and approved online appendices. Whenever the available data allowed, the Journal also checked for their ability to reproduce the results. However, the synthetic/simulated data are not designed to produce the same results. Given the highly demanding nature of the algorithms, the reproducibility checks were run on a simplified version of the code, which is also available in the replication package.
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