The Cost of Consumer Collateral: Evidence from Bunching

Working Paper: NBER ID: w29527

Authors: Benjamin L. Collier; Cameron Ellis; Benjamin J. Keys

Abstract: We show that borrowers are highly sensitive to the requirement of posting their homes as collateral. 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. One-third of all borrowers select the maximum uncollateralized loan amount, and our bunching estimates suggest that the median borrower is willing to give up 40% of their loan amount to avoid collateral. Exploiting time variation in the loan amount threshold, we find that collateral causally reduces default rates by 35%. Our results help to explain high perceived default costs in the mortgage market, and uniquely quantify the extent to which collateral reduces moral hazard in consumer credit markets.

Keywords: collateral; consumer credit; default rates; bunching

JEL Codes: D14; D82; G23; G28


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Collateral requirements (G32)Consumer borrowing behavior (G51)
Collateral (Y20)Default rates (E43)
Collateral requirements (G32)Loan demand (G51)
Consumer borrowing behavior (G51)Default rates (E43)
Collateral aversion (D81)Loan size (G51)

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