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Cointegration testing in dependent panels with breaks

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  • Di Iorio, Francesca
  • Fachin, Stefano

Abstract

In this paper we propose panel cointegration tests allowing for breaks and cross-section dependence based on the Continuos-Path Block bootstrap. Simulation evidence shows that the proposed panel tests have satisfactory size and power properties, hence improving considerably on asymptotic tests applied to individual series. As an empirical illustration we examine investment and saving for a panel of European countries over the 1960-2002 period, finding, contrary to the results of most individual tests, that the hypothesis of a long-run relationship with breaks is compatible with the data

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  • Di Iorio, Francesca & Fachin, Stefano, 2007. "Cointegration testing in dependent panels with breaks," MPRA Paper 3139, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:3139
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    References listed on IDEAS

    as
    1. Joakim Westerlund, 2006. "Testing for Panel Cointegration with Multiple Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(1), pages 101-132, February.
    2. Joakim Westerlund & David L. Edgerton, 2008. "A Simple Test for Cointegration in Dependent Panels with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(5), pages 665-704, October.
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    Cited by:

    1. Piotr Misztal, 2011. "The Feldstein-Horioka Hypothesis in Countries with Varied Levels of Economic Development," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 5(2), June.
    2. Banerjee, Anindya & Carrion-i-Silvestre, Josep Lluís, 2006. "Cointegration in panel data with breaks and cross-section dependence," Working Paper Series 591, European Central Bank.

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    More about this item

    Keywords

    Panel cointegration; continuos-path block bootstrap; breaks; Feldstein-Horioka Puzzle;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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