59 Pages Posted: 23 Aug 2010 Last revised: 24 Oct 2011
Date Written: October 23, 2011
We compare the ability of three measurement error remedies to deliver unbiased estimates of coefficients in investment regressions. We examine high-order moment estimators, dynamic panel estimators, and simple instrumental variables estimators that use lagged mismeasured regressors as instruments. We show that recent investigations of this question are largely uninformative. We find that all estimators can perform well under correct specification, all can be biased under misspecification, and misspecification is easiest to detect in the case of high-order moment estimators. We develop and demonstrate a minimum distance technique that extends the high-order moment estimators to be used on unbalanced panel data.
Keywords: Measurement Error, Investment, Minimum Distance, GMM
JEL Classification: C15, C26, E22, G31
Suggested Citation: Suggested Citation
Erickson, Timothy and Whited, Toni M., Treating Measurement Error in Tobin’s Q (October 23, 2011). Simon School Working Paper No. FR 10-27. Available at SSRN: https://ssrn.com/abstract=1663486 or http://dx.doi.org/10.2139/ssrn.1663486