A Monte Carlo Evaluation of the Efficiency of the PCSE Estimator
Abstract
Panel data characterized by groupwise heteroscedasticity, cross-sectional correlation, and AR(1) serial correlation pose problems for econometric analyses. It is well known that the asymptotically efficient, FGLS estimator (Parks) sometimes performs poorly in finite samples. In a widely cited paper, Beck and Katz (1995) claim that their estimator (PCSE) is able to produce more accurate coefficient standard errors without any loss in efficiency in ¡°practical research situations.¡± This study disputes that claim. We find that the PCSE estimator is usually less efficient than Parks -- and substantially so -- except when the number of time periods is close to the number of cross-sections.Download Info
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Paper provided by University of Canterbury, Department of Economics and Finance in its series Working Papers in Economics with number 06/14.Length: 11 pages
Date of creation: 03 Nov 2006
Date of revision:
Handle: RePEc:cbt:econwp:06/14
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Related research
Keywords: Panel data estimation; Monte Carlo analysis; FGLS; Parks; PCSE; finite sample;Other versions of this item:
- Xiujian Chen & Shu Lin & W. Robert Reed, 2010. "A Monte Carlo evaluation of the efficiency of the PCSE estimator," Applied Economics Letters, Taylor and Francis Journals, vol. 17(1), pages 7-10.
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-01-14 (All new papers)
- NEP-ECM-2007-01-14 (Econometrics)
- NEP-ETS-2007-01-14 (Econometric Time Series)
References
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- Michael A. Lapré & Nikos Tsikriktsis, 2006. "Organizational Learning Curves for Customer Dissatisfaction: Heterogeneity Across Airlines," Management Science, INFORMS, vol. 52(3), pages 352-366, March.
- Joseph DeJuan & Maria J. Luengo-Prado, 2005.
"Consumption and Aggregate Constraints: International Evidence,"
Macroeconomics
0501018, EconWPA.
- Joseph P. Dejuan & Maria Jose Luengo-Prado, 2006. "Consumption and Aggregate Constraints: International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(1), pages 81-99, 02.
- Yermack, David, 2006. "Flights of fancy: Corporate jets, CEO perquisites, and inferior shareholder returns," Journal of Financial Economics, Elsevier, vol. 80(1), pages 211-242, April.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Roberto Fernández Llera & María A. García Valiñas, 2010. "Efficiency and elusion: both sides of public enterprises in Spain," Working Papers 2010/5, Institut d'Economia de Barcelona (IEB).
- Thierry Pénard & Sylvain Dejean & Raphaël Suire, 2011. "Olson’s Paradox Revisited: An Empirical Analysis of Incentives to Contribute in P2P File-sharing Communities," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201105, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
- Alonso, Jose M. & Clifton, Judith & Díaz-Fuentes, Daniel, 2011. "Did New Public Management Matter? An Empirical Analysis of The Outsourcing and Decentralization Effects on Public Sector Size," MPRA Paper 43255, University Library of Munich, Germany.
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