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An Intersection Test for Panel Unit Roots

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  • Christoph Hanck

Abstract

This article proposes a new panel unit root test based on Simes’ (1986) classical intersection test. The test is robust to general patterns of cross-sectional dependence and yet is straightforward to implement, only requiring p -values of time series unit root tests of the series in the panel, and no resampling. Monte Carlo experiments show good size and power properties relative to existing panel unit root tests. Unlike previously suggested tests, the new test allows to identify the units in the panel for which the alternative of stationarity can be said to hold. We provide an empirical application to real exchange rate data.

Suggested Citation

  • Christoph Hanck, 2013. "An Intersection Test for Panel Unit Roots," Econometric Reviews, Taylor & Francis Journals, vol. 32(2), pages 183-203, February.
  • Handle: RePEc:taf:emetrv:v:32:y:2013:i:2:p:183-203
    DOI: 10.1080/07474938.2011.608058
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    Citations

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    Cited by:

    1. Milda Norkute, 2015. "Can the sectoral New Keynesian Phillips curve explain inflation dynamics in the Euro Area?," Empirical Economics, Springer, vol. 49(4), pages 1191-1216, December.
    2. Christoph Hanck & Robert Czudaj, 2013. "Nonstationary-Volatility Robust Panel Unit Root Tests and the Great Moderation," Ruhr Economic Papers 0434, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    3. Claudiu Tiberiu Albulescu & Dominique Pépin & Aviral Kumar Tiwari, 2016. "A RE-EXAMINATION OF REAL INTEREST PARITY IN CEECs USING ‘OLD’ AND ‘NEW’ SECOND-GENERATION PANEL UNIT ROOT TESTS," Bulletin of Economic Research, Wiley Blackwell, vol. 68(2), pages 133-150, April.
    4. repec:zbw:rwirep:0434 is not listed on IDEAS
    5. Christoph Hanck & Robert Czudaj, 2015. "Nonstationary-volatility robust panel unit root tests and the great moderation," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(2), pages 161-187, April.
    6. Karaman Örsal, Deniz Dilan & Arsova, Antonia, 2016. "A panel cointegration rank test with structural breaks and cross-sectional dependence," Annual Conference 2016 (Augsburg): Demographic Change 145822, Verein für Socialpolitik / German Economic Association.
    7. Marta Simoes & Adelaide Duarte & João Sousa Andrade, 2015. "Dimensions of the welfare state and economic performance: a comparative analysis," Investigaciones de Economía de la Educación volume 10,in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 41, pages 811-828 Asociación de Economía de la Educación.
    8. Antonia Arsova & Deniz Dilan Karaman Örsal, 2016. "An intersection test for the cointegrating rank in dependent panel data," Working Paper Series in Economics 357, University of Lüneburg, Institute of Economics.
    9. Costantini, Mauro & Lupi, Claudio, 2016. "Identifying stationary series in panels: A Monte Carlo evaluation of sequential panel selection methods," Economics Letters, Elsevier, vol. 138(C), pages 9-14.
    10. Thomas Goda & Chris Stewart & Alejandro Torres García, 2016. "Absolute Income Inequality and Rising House Prices," DOCUMENTOS DE TRABAJO CIEF 015247, UNIVERSIDAD EAFIT.
    11. Verena Werkmann, 2013. "Performance of unit root tests in unbalanced panels: experimental evidence," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(3), pages 271-285, July.
    12. Sarah Meyer & Mark Trede, 2016. "Explosive earnings dynamics: Whoever has will be given more," CQE Working Papers 4716, Center for Quantitative Economics (CQE), University of Muenster.

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