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Panel Methods to Test for Unit Roots and Cointegration

In: Palgrave Handbook of Econometrics

Author

Listed:
  • Anindya Banerjee
  • Martin Wagner

Abstract

We provide an up-to-date analytical survey of methods which have been developed to deal with estimation and inference in non-stationary panels. The chapter provides information not only on the tools but also interprets the literature and highlights the important challenges that remain. We discuss the difficulties involved in formulating hypotheses within a panel framework with unit roots and cointegration. These issues include incorporating cross-sectional dependence and structural breaks in the data. Both these features are widely prevalent in the panels and lead to complications in estimation and inference. For example, factor models are a widely used class of methods used to deal with dependence but constitute only one of several ways of formulating the problems involved. We argue that the links between cointegration and factor models in panels need to be considered adequately and the asymptotic theory put on a firmer footing in many respects. The study of cross-sectional dependence, breaks, and multiple cointegrating vectors, all of which are in their relative infancy, mark the way for productive research in the years ahead.

Suggested Citation

  • Anindya Banerjee & Martin Wagner, 2009. "Panel Methods to Test for Unit Roots and Cointegration," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 13, pages 632-726, Palgrave Macmillan.
    • Handle: RePEc:pal:palchp:978-0-230-24440-5_13
    DOI: 10.1057/9780230244405_13
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    Citations

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    Cited by:

    1. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    2. Lupi, Claudio, 2011. "Panel-CADF Testing with R: Panel Unit Root Tests Made Easy," Economics & Statistics Discussion Papers esdp11063, University of Molise, Department of Economics.
    3. Anthony N. Rezitis, 2015. "Empirical Analysis of Agricultural Commodity Prices, Crude Oil Prices and US Dollar Exchange Rates using Panel Data Econometric Methods," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 851-868.
    4. van der Ploeg, Frederick & Poelhekke, Steven, 2010. "Do Natural Resources Attract FDI? Evidence from Non-Stationary Sector-Level Data," CEPR Discussion Papers 8079, C.E.P.R. Discussion Papers.
    5. Werner, Daniel, 2013. "Regional convergence analysis for skill-specific employment groups," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79706, Verein für Socialpolitik / German Economic Association.
    6. Lee, Chien-Chiang & Chiu, Yi-Bin, 2016. "Globalization and insurance activity: Evidence on the industrial and emerging countries," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 328-349.
    7. Jesús Otero & Luis Fernando Gamboa & Andrés García-Suaza, 2011. "An analysis of the relationship between wages in the public and private sector in colombia: a panel data approach," Documentos de Trabajo 8738, Universidad del Rosario.
    8. Pedroni, Peter L. & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2015. "Nonparametric rank tests for non-stationary panels," Journal of Econometrics, Elsevier, vol. 185(2), pages 378-391.
    9. Werner, Daniel, 2013. "New insights into the development of regional unemployment disparities," IAB-Discussion Paper 201311, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    10. Jushan Bai & Josep Lluís Carrion‐i‐Silvestre, 2013. "Testing panel cointegration with unobservable dynamic common factors that are correlated with the regressors," Econometrics Journal, Royal Economic Society, vol. 16(2), pages 222-249, June.
    11. Anindya Banerjee & Josep Lluís Carrion-i-Silvestre, 2006. "Cointegration in Panel Data with Breaks and Cross-Section Dependence," Economics Working Papers ECO2006/5, European University Institute.
    12. James C. Rockey, 2007. "Which Democracies Pay Higher Wages?," Bristol Economics Discussion Papers 07/600, School of Economics, University of Bristol, UK.
    13. Xu, Bin & Lin, Boqiang, 2018. "Assessing the development of China's new energy industry," Energy Economics, Elsevier, vol. 70(C), pages 116-131.
    14. Josep Lluís Carrion-i-Silvestre & Laura Surdeanu, 2016. "Productivity, Infrastructure and Human Capital in the Spanish Regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(4), pages 365-391, October.
    15. Uwe Hassler & Matei Demetrescu & Adina Tarcolea, 2011. "Asymptotic normal tests for integration in panels with cross-dependent units," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(2), pages 187-204, June.
    16. Kaddour Hadri & Eiji Kurozumi & Yao Rao, 2015. "Novel panel cointegration tests emending for cross‐section dependence with N fixed," Econometrics Journal, Royal Economic Society, vol. 18(3), pages 363-411, October.
    17. Steven Poelhekke, 2011. "Home Bank Intermediation of Foreign Direct Investment," CESifo Working Paper Series 3490, CESifo.
    18. Poelhekke, Steven, 2015. "Do global banks facilitate foreign direct investment?," European Economic Review, Elsevier, vol. 76(C), pages 25-46.

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