Searching for Approval

S-Tier
Journal: Econometrica
Year: 2024
Volume: 92
Issue: 4
Pages: 1195-1231

Authors (6)

Sumit Agarwal (not in RePEc) John Grigsby (not in RePEc) Ali Hortaçsu (University of Chicago) Gregor Matvos (not in RePEc) Amit Seru (Stanford University) Vincent Yao (not in RePEc)

Score contribution per author:

1.341 = (α=2.01 / 6 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper theoretically and empirically studies the interaction of search and application approval in credit markets. Risky borrowers internalize the probability that their application is rejected and behave as if they had high search costs. Thus, “overpayment” may be a poor proxy for consumer sophistication since it partly represents rational search in response to rejections. Contrary to standard search models, our model implies (1) endogenous adverse selection through the search and application approval process, (2) a possibly non‐monotone or non‐decreasing relationship between search and realized interest, default, and application approval rates, and (3) search costs estimated from transaction prices alone are biased. We find support for the model's predictions using a unique data set detailing search behavior of mortgage borrowers. Estimating the model, we find that screening is informative and search is costly. Counterfactual analyses reveal that tightening lending standards and discrimination through application rejection both increase equilibrium interest rates. This increase in realized interest rates is in part due to strategic complementarity in bank rate setting.

Technical Details

RePEc Handle
repec:wly:emetrp:v:92:y:2024:i:4:p:1195-1231
Journal Field
General
Author Count
6
Added to Database
2026-01-29