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Another Look At What To Do With Time-Series Cross-Section Data

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  • Xiujian Chen

    (University of Oklahoma)

  • Shu Lin

    (University of Oklahoma)

  • W. Robert Reed

    (University of Oklahoma)

Abstract

Our study revisits Beck and Katz’ (1995) comparison of the Parks and PCSE estimators using time-series, cross-sectional data (TSCS). Our innovation is that we construct simulated statistical environments that are designed to closely match “real-world,” TSCS data. We pattern our statistical environments after income and tax data on U.S. states from 1960-1999. While PCSE generally does a better job than Parks in estimating standard errors, it too can be unreliable, sometimes producing standard errors that are substantially off the mark. Further, we find that the benefits of PCSE can come at a substantial cost in estimator efficiency. Based on our study, we would give the following advice to researchers using TSCS data: Given a choice between Parks and PCSE, we recommend that researchers use PCSE for hypothesis testing, and Parks if their primary interest is accurate coefficient estimates.

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Bibliographic Info

Paper provided by EconWPA in its series Econometrics with number 0506004.

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Length: 26 pages
Date of creation: 08 Jun 2005
Date of revision:
Handle: RePEc:wpa:wuwpem:0506004

Note: Type of Document - pdf; pages: 26
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Web page: http://128.118.178.162

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Keywords: Panel Data; Panel Corrected Standard Errors; Monte Carlo analysis;

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  1. Brulhart, Marius & Trionfetti, Federico, 2004. "Public expenditure, international specialisation and agglomeration," European Economic Review, Elsevier, vol. 48(4), pages 851-881, August.
  2. Luca Nunziata, 2001. "Institutions and Wage Determination: a Multi-Country Approach," Economics Papers 2001-W29, Economics Group, Nuffield College, University of Oxford.
  3. Kwok Tong Soo, 2004. "Zipf's law for cities: a cross country investigation," LSE Research Online Documents on Economics 19947, London School of Economics and Political Science, LSE Library.
  4. Jönsson, Kristian, 2003. "Cross-sectional dependency and size distortion in a small-sample homogeneous panel-data unit root test," Working Papers 2003:10, Lund University, Department of Economics.
  5. Helms, L Jay, 1985. "The Effect of State and Local Taxes on Economic Growth: A Time Series-Cross Section Approach," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 574-82, November.
  6. Joseph DeJuan & Maria J. Luengo-Prado, 2005. "Consumption and Aggregate Constraints: International Evidence," Macroeconomics 0501018, EconWPA.
  7. Reed, W. Robert, 2006. "Democrats, republicans, and taxes: Evidence that political parties matter," Journal of Public Economics, Elsevier, vol. 90(4-5), pages 725-750, May.
  8. Woojin Lee & John E. Roemer, 2005. "The Rise and Fall of Unionised Labour Markets: A Political Economy Approach," Economic Journal, Royal Economic Society, vol. 115(500), pages 28-67, 01.
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Cited by:
  1. Aristovnik, Aleksander, 2006. "The Determinants & Excessiveness of Current Account Deficits in Eastern Europe & the Former Soviet Union," MPRA Paper 483, University Library of Munich, Germany.
  2. 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).
  3. Mellati, Ali, 2008. "Uncertainty and investment in private sector: An analytical argument and a review of the economy of Iran," MPRA Paper 26655, University Library of Munich, Germany.
  4. Etienne Bordeleau & Allan Crawford & Christopher Graham, 2009. "Regulatory Constraints on Bank Leverage: Issues and Lessons from the Canadian Experience," Discussion Papers 09-15, Bank of Canada.
  5. Pitelis, Christos & Vasilaros, Vassilis, 2009. "The Determinants of Value Creation at the Firm, Industry and National Levels: A Framework and Evidence," Papers DYNREG37, Economic and Social Research Institute (ESRI).
  6. Aleksander Aristovnik, 2005. "Current Account Reversals In Selected Transition Countries," International Finance 0510021, EconWPA.

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