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Testing for cross-sectional dependence in panel-data models

Author

Listed:
  • 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.

Suggested Citation

  • Rafael E. De Hoyos & Vasilis Sarafidis, 2006. "Testing for cross-sectional dependence in panel-data models," Stata Journal, StataCorp LP, vol. 6(4), pages 482-496, December.
    • Handle: RePEc:tsj:stataj:v:6:y:2006:i:4:p:482-496
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    References listed on IDEAS

    as
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    4. 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, March.
    5. Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
    6. 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.
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    9. Christopher F Baum, 2001. "Residual diagnostics for cross-section time series regression models," Stata Journal, StataCorp LP, vol. 1(1), pages 101-104, November.
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