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Cross-sectional correlation robust tests for panel cointegration

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  • Christoph Hanck

Abstract

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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    8. Zankawah, Mutawakil M. & Stewart, Chris, 2019. "Does the exogeneity of oil prices matter in the oil price-macro-economy relationship for Ghana?," Economics Discussion Papers 2019-2, School of Economics, Kingston University London.
    9. Helmut Herwartz & Florian Siedenburg & Yabibal M. Walle, 2016. "Heteroskedasticity Robust Panel Unit Root Testing Under Variance Breaks in Pooled Regressions," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 727-750, May.

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