The PCSE Estimator is Good -- Just Not as Good as You Think
This paper investigates the properties of the Panel-Corrected Standard Error (PCSE) estimator. The PCSE estimator is commonly used when working with time-series, crosssectional (TSCS) data. In an influential paper, Beck and Katz (1995) (henceforth BK) demonstrated that FGLS produces coefficient standard errors that are severely underestimated. They report Monte Carlo experiments in which the PCSE estimator produces accurate standard error estimates at no, or little, loss in efficiency compared to FGLS. Our study further investigates the properties of the PCSE estimator. We first reproduce the main experimental results of BK using their Monte Carlo framework. We then show that the PCSE estimator does not perform as well when tested in data environments that better resemble “practical research situations.” When (i) the explanatory variable(s) are characterized by substantial persistence, (ii) there is serial correlation in the errors, and (iii) the time span of the data series is relatively short, coverage rates for the PCSE estimator frequently fall between 80 and 90 percent. Further, we find many “practical research situations” where the PCSE estimator compares poorly with FGLS on efficiency grounds.
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- Rose, Andrew K, 2002.
"Do We Really Know that the WTO Increases Trade?,"
CEPR Discussion Papers
3538, C.E.P.R. Discussion Papers.
- Ilan Noy, 2007.
"The Macroeconomic Consequences of Disasters,"
200707, University of Hawaii at Manoa, Department of Economics.
- Mitchell A. Petersen, 2009.
"Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches,"
Review of Financial Studies,
Society for Financial Studies, vol. 22(1), pages 435-480, January.
- Mitchell A. Petersen, 2005. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," NBER Working Papers 11280, National Bureau of Economic Research, Inc.
- Miaw-Chwen Lee & Andrew M. Jones, 2004. "How did Dentists Respond to the Introduction of Global Budgets in Taiwan? An Evaluation Using Individual Panel Data," International Journal of Health Economics and Management, Springer, vol. 4(4), pages 307-326, December.
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