Common Errors: How to (and Not to) Control for Unobserved Heterogeneity
Todd A. Gormley
University of Pennsylvania - The Wharton School
David A. Matsa
Northwestern University - Kellogg School of Management; National Bureau of Economic Research (NBER)
August 3, 2013
Review of Financial Studies, 2014, 27(2), 617-61
AFA 2013 San Diego Meetings Paper
Controlling for unobserved heterogeneity (or “common errors”), such as industry-specific shocks, is a fundamental challenge in empirical research. This paper discusses the limitations of two approaches widely used in corporate finance and asset pricing research: demeaning the dependent variable with respect to the group (e.g., “industry-adjusting”) and adding the mean of the group’s dependent variable as a control. We show that these methods produce inconsistent estimates and can distort inference. In contrast, the fixed effects estimator is consistent and should be used instead. We also explain how to estimate the fixed effects model when traditional methods are computationally infeasible.
Additional programming advice can be found on our websites.
Number of Pages in PDF File: 58
Keywords: unobserved heterogeneity, group fixed effects, industry-adjust, bias
JEL Classification: G12, G2, G3, C01, C13
Date posted: March 17, 2012 ; Last revised: June 17, 2014
© 2015 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo3 in 0.359 seconds