On the Accuracy of Different Measures of "q"
AbstractTobin's q is widely accepted as a proxy for an underlying "true" q, which is assumed to characterize a firm's incentive to invest. Researchers have developed numerous methods for computing q. This article assesses the measurement quality of different proxies for q. We adapt the measurement-error consistent estimators in Erickson and Whited (2002) to estimate the extent to which variation in true unobservable q explains variation in different proxies for q. We find most proxies for q are poor: careful algorithms for calculating q do little to improve measurement quality. Using elaborate algorithms, however, depletes the number of usable observations and possibly introduces sample selection bias. Copyright (c) 2006 Financial Management Association International.
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Bibliographic InfoArticle provided by Financial Management Association International in its journal Financial Management.
Volume (Year): 35 (2006)
Issue (Month): 3 (09)
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