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Cross-sectional correlation robust tests for panel cointegration


  • Christoph Hanck


We use meta-analytic procedures to develop new tests for panel cointegration, combining p-values from time-series cointegration tests on the units of the panel. The tests are robust to heterogeneity and cross-sectional dependence between the panel units. To achieve the latter, we employ a sieve bootstrap procedure with joint resampling of the units' residuals. A simulation study shows that the tests can have substantially smaller size distortion than tests ignoring the presence of cross-sectional dependence while preserving high power. We apply the tests to a panel of post-Bretton Woods data to test for weak purchasing power parity.

Suggested Citation

  • Christoph Hanck, 2009. "Cross-sectional correlation robust tests for panel cointegration," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 817-833.
  • Handle: RePEc:taf:japsta:v:36:y:2009:i:7:p:817-833 DOI: 10.1080/02664760802510042

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    References listed on IDEAS

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    Cited by:

    1. Hadri, Kaddour & Kurozumi, Eiji & Rao, Yao, 2013. "Novel Panel Cointegration Tests Emending for Cross-Section Dependence with N Fixed," Discussion Papers 2013-12, Graduate School of Economics, Hitotsubashi University.
    2. Herwartz, Helmut & Siedenburg, Florian, 2009. "The effects of variance breaks on homogenous panel unit root tests," Economics Working Papers 2009-07, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Uwe Hassler & Mehdi Hosseinkouchack, 2016. "Panel Cointegration Testing in the Presence of Linear Time Trends," Econometrics, MDPI, Open Access Journal, vol. 4(4), pages 1-16, November.
    4. Hassler Uwe & Werkmann Verena, 2014. "Multiple Comparisons and Joint Significance in Panel Unit Root Testing with Evidence on International Interest Rate Linkage," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(1), pages 23-43, February.
    5. Chang, Yoosoon & Nguyen, Chi Mai, 2012. "Residual based tests for cointegration in dependent panels," Journal of Econometrics, Elsevier, vol. 167(2), pages 504-520.
    6. repec:eee:juipol:v:45:y:2017:i:c:p:45-60 is not listed on IDEAS
    7. Sheng, Xuguang & Yang, Jingyun, 2013. "An adaptive truncated product method for combining dependent p-values," Economics Letters, Elsevier, vol. 119(2), pages 180-182.


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