Valid Inference in Single-Firm, Single-Event Studies
Jonah B. Gelbach
Yale Law School; Yale University - Department of Economics Program in Applied Economics and Policy
Claremont McKenna College - Robert Day School of Economics and Finance; RAND
University of Pennsylvania Law School; Erasmus School of Law; PERC - Property and Environment Research Center
August 10, 2012
American Law and Economics Review, Forthcoming
Single-firm event studies play an important role in both scholarship and litigation despite the general invalidity of standard inference. We use a broad cross-section of 2000-2007 CRSP data and find that the standard approach performs poorly in terms of both Type I and Type II error rates. We discuss a simple-to-use alternative, the SQ test, based on sample quantiles of the empirical distribution of pre-event fitted excess returns, which has correct asymptotic Type I error rate. Results suggest the test will be useful in studying the impact of firm-specific events such as regulation, anti-trust rulings, and corporate or securities litigation.
Number of Pages in PDF File: 38
Keywords: event study, sample quantiles, abnormal return, bootstrap, non-parametric, securities litigation
JEL Classification: C12, C14, G00, G14, K00, K22Accepted Paper Series
Date posted: August 1, 2009 ; Last revised: September 3, 2012
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