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Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches Author info | Abstract | Publisher info | Download info | Related research | Statistics Mitchell A. Petersen
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In both corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the residuals may be correlated across firms and across time, and OLS standard errors can be biased. Historically, the two literatures have used different solutions to this problem. Corporate finance has relied on Rogers standard errors, while asset pricing has used the Fama-MacBeth procedure to estimate standard errors. This paper will examine the different methods used in the literature and explain when the different methods yield the same (and correct) standard errors and when they diverge. The intent is to provide intuition as to why the different approaches sometimes give different answers and give researchers guidance for their use.
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Date of creation: Apr 2005Date of revision:
Handle: RePEc:nbr:nberwo:11280Note: AP CFContact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A. Phone: 617-868-3900 Email: Web page: http://www.nber.org More information through EDIRC
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Keywords: Find related papers by JEL classification: G1 - Financial Economics - - General Financial Markets G3 - Financial Economics - - Corporate Finance and Governance C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General
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