74 Pages Posted: 18 Oct 2012 Last revised: 12 Jun 2014
Date Written: June 11, 2014
We estimate a dynamic model of the decision to close a troubled bank. Regulators trade off an aversion to closing banks against the risk that allowing a bank to continue will raise the eventual costs to the deposit insurance fund. Using a conditional choice probability approach, we estimate the costs associated with closing banks, both in direct costs to the insurance fund and in other costs perceived by regulators, either social or personal. We find that delayed closures were driven by a desire to defer costs, an aversion to closing the largest and smallest troubled banks, and political influence.
Keywords: bank failures, dynamic structural estimation
JEL Classification: E53, G28
Suggested Citation: Suggested Citation
Kang, Ari Choi and Lowery, Richard and Wardlaw, Malcolm, The Costs of Closing Failed Banks: A Structural Estimation of Regulatory Incentives (June 11, 2014). Available at SSRN: https://ssrn.com/abstract=2163051 or http://dx.doi.org/10.2139/ssrn.2163051
By Kevin Murphy