This paper estimates the magnitude of an informational friction limiting credit reallocation to firms during the 2007-2009 financial crisis. Because lenders rely on private information when deciding which relationship to end, borrowers looking for a new lender are adversely selected. I show how to identify private information separately from information common to all lenders but unobservable to the econometrician by using bank shocks within a discrete choice model of relationships. Quantitatively, these informational frictions seem too small to explain the credit crunch in the U.S. syndicated corporate loan market.
Keywords: COVID-19; epidemiological characteristics; multivariate logistic regression; warning score.
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