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Testing for cross-sectional dependence in panel-data models

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Author Info

  • Rafael E. De Hoyos

    ()
    (The World Bank)

  • Vasilis Sarafidis

    ()
    (University of Sydney)

Abstract

This article describes a new Stata routine, xtcsd, to test for the presence of cross-sectional dependence in panels with many cross-sectional units and few time-series observations. The command executes three different test- ing procedures —namely, Friedman’s (Journal of the American Statistical Associ- ation 32: 675–701) (FR) test statistic, the statistic proposed by Frees (Journal of Econometrics 69: 393–414), and the cross-sectional dependence (CD) test of Pe- saran (General diagnostic tests for cross-section dependence in panels [University of Cambridge, Faculty of Economics, Cambridge Working Papers in Economics, Paper No. 0435]). We illustrate the command with an empirical example. Copyright 2006 by StataCorp LP.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 6 (2006)
Issue (Month): 4 (December)
Pages: 482-496

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Handle: RePEc:tsj:stataj:v:6:y:2006:i:4:p:482-496

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Related research

Keywords: xtcsd; panel data; cross-sectional dependence;

References

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  1. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  2. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
  3. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
  4. Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute for the Study of Labor (IZA).
  5. Vasilis Sarafidis & Donald Robertson, 2009. "On the impact of error cross-sectional dependence in short dynamic panel estimation," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 62-81, 03.
  6. Pesaran, M.H. & Ullah, A. & Yamagata. T., 2006. "A Bias-Adjusted LM Test of Error Cross Section Independence," Cambridge Working Papers in Economics 0641, Faculty of Economics, University of Cambridge.
  7. Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
  8. Christopher F Baum, 2001. "Residual diagnostics for cross-section time series regression models," Stata Journal, StataCorp LP, vol. 1(1), pages 101-104, November.
  9. Breusch, T.S. & Pagan, A.R., . "The Lagrange multiplier test and its applications to model specification in econometrics," CORE Discussion Papers RP -412, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  10. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
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