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Review of Financial Studies Vol. 36 No. 6 2023

Watch What They Do, Not What They Say: Estimating Regulatory Costs from Revealed Preferences

Adrien Alvero1; Sakai Ando2; Kairong Xiao1

1 Columbia Business School USA · 2 International Monetary Fund , USA

Abstract

We show that distortion in the size distribution of banks around regulatory thresholds can be used to identify costs of bank regulation. We build a structural model in which banks can strategically bunch their assets below regulatory thresholds to avoid regulations. The resultant distortion in the size distribution of banks reveals the magnitude of regulatory costs. Using U.S. bank data, we estimate the regulatory costs imposed by the Dodd-Frank Act. Although the estimated regulatory costs are substantial, they are significantly lower than banks’ self-reported estimates.

DOI
10.1093/rfs/hhac089
Volume
36
Issue
6
Pages
2224-2273
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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