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Keywords:Markov Chain Monte Carlo (MCMC) 

Working Paper
Assessing Regulatory Responses to Banking Crises

During banking crises, regulators must decide between bailouts or liquidations, neither of which are publicly popular. However, making a comprehensive assessment of regulators requires examining all their decisions against their dual objectives of preserving financial stability and discouraging moral hazard. I develop a Bayesian latent class model to assess regulators on these competing objectives and evaluate banking and savings and loan (S&L) regulators during the 1980s crises. I find that the banking authority (FDIC) conformed to these objectives whereas the S&L regulator (FSLIC), which ...
Research Working Paper , Paper RWP 22-04

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