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, cross-sectional (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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Volume (Year): 2 (2010)
Issue (Month): 1 (September)
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Andrew K. Rose, 2004.
"Do We Really Know That the WTO Increases Trade?,"
American Economic Review,
American Economic Association, vol. 94(1), pages 98-114, March.
- Andrew K. Rose, 2002. "Do We Really Know that the WTO Increases Trade?," NBER Working Papers 9273, National Bureau of Economic Research, Inc.
- Rose, Andrew K, 2002. "Do We Really Know that the WTO Increases Trade?," CEPR Discussion Papers 3538, C.E.P.R. Discussion Papers.
- Andrew K. Rose, 2002. "Do We Really KNow that the WTO Increases Trade?," Working Papers 182002, Hong Kong Institute for Monetary Research.
- Noy, Ilan, 2009. "The macroeconomic consequences of disasters," Journal of Development Economics, Elsevier, vol. 88(2), pages 221-231, March.
- Ilan Noy, 2007. "The Macroeconomic Consequences of Disasters," Working Papers 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. Full references (including those not matched with items on IDEAS)