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Implementing Panel-Corrected Standard Errors in R: The pcse Package

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  • Bailey, Delia
  • Katz, Jonathan N.

Abstract

Time-series - cross-section (TSCS) data are characterized by having repeated observations over time on some set of units, such as states or nations. TSCS data typically display both contemporaneous correlation across units and unit level heteroskedasity making inference from standard errors produced by ordinary least squares incorrect. Panel-corrected standard errors (PCSE) account for these these deviations from spherical errors and allow for better inference from linear models estimated from TSCS data. In this paper, we discuss an implementation of them in the R system for statistical computing. The key computational issue is how to handle unbalanced data.

Suggested Citation

  • Bailey, Delia & Katz, Jonathan N., 2011. "Implementing Panel-Corrected Standard Errors in R: The pcse Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(c01).
    • Handle: RePEc:jss:jstsof:v:042:c01
    DOI: http://hdl.handle.net/10.18637/jss.v042.c01
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    References listed on IDEAS

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    1. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    2. Henningsen, Arne & Hamann, Jeff D., 2007. "systemfit: A Package for Estimating Systems of Simultaneous Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i04).
    3. MacKinnon, James G. & White, Halbert, 1985. "Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties," Journal of Econometrics, Elsevier, vol. 29(3), pages 305-325, September.
    4. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
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