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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"--National Bureau of Economic Research web site.
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Subjects
Finance, Methodology, ResearchEdition | Availability |
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1
Estimating standard errors in finance panel data sets: comparing approaches
2005, National Bureau of Economic Research
Electronic resource
in English
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Book Details
Edition Notes
Also available in print.
Includes bibliographical references.
Title from PDF file as viewed on 5/5/2005.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.
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History
- Created April 1, 2008
- 5 revisions
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July 31, 2012 | Edited by VacuumBot | Updated format '[electronic resource] :' to 'Electronic resource' |
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