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Testing for multicointegration in panel data with common factors

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  • Vanessa Berenguer Rico
  • Josep Lluis Carrion Silvestre

    (Universitat de Barcelona)

Abstract

The paper addresses the concept of multicointegration in panel data frame- work. The proposal builds upon the panel data cointegration procedures developed in Pedroni (2004), for which we compute the moments of the parametric statistics. When individuals are either cross-section independent or cross-section dependence can be re- moved by cross-section demeaning, our approach can be applied to the wider framework of mixed I(2) and I(1) stochastic processes analysis.

Suggested Citation

  • Vanessa Berenguer Rico & Josep Lluis Carrion Silvestre, 2006. "Testing for multicointegration in panel data with common factors," Working Papers in Economics 160, Universitat de Barcelona. Espai de Recerca en Economia.
    • Handle: RePEc:bar:bedcje:2006160
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    References listed on IDEAS

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    Cited by:

    1. Karikallio, Hanna, 2015. "Cross-commodity Price Transmission and Integration of the EU Livestock Market of Pork and Beef: Panel Time-series Approach," 2015 Conference, August 9-14, 2015, Milan, Italy 211832, International Association of Agricultural Economists.
    2. Jaroslava Hlouskova & Martin Wagner, 2009. "Finite Sample Correction Factors for Panel Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(6), pages 851-881, December.
    3. António Afonso & Christophe Rault, 2010. "What do we really know about fiscal sustainability in the EU? A panel data diagnostic," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(4), pages 731-755, January.
    4. María-Dolores, Ramon, 2009. "How different is the exchange rate pass-through in new member states of the EU? Some potential explanatory factors," UMUFAE Economics Working Papers 4698, DIGITUM. Universidad de Murcia.
    5. Martin Wagner & Jaroslava Hlouskova, 2010. "The Performance of Panel Cointegration Methods: Results from a Large Scale Simulation Study," Econometric Reviews, Taylor & Francis Journals, vol. 29(2), pages 182-223, April.
    6. Cassim, Lucius, 2020. "A Residual-based Test For Multicointegration In Models With Structural Breaks And Threshold Adjustment To Steady State," MPRA Paper 101453, University Library of Munich, Germany.
    7. Piotr Krajewski & Michał Mackiewicz & Agata Szymańska, 2016. "Fiscal Sustainability in Central and Eastern European Countries - A Post-Crisis Assessment," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(2), pages 175-188.
    8. Vanessa Berenguer‐Rico & Josep Lluís Carrion‐i‐Silvestre, 2006. "Testing for Multicointegration in Panel Data with Common Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 721-739, December.
    9. Afonso, António & Rault, Christophe, 2015. "Multi-step analysis of public finances sustainability," Economic Modelling, Elsevier, vol. 48(C), pages 199-209.
    10. Christian Gengenbach & Franz C. Palm & Jean‐Pierre Urbain, 2006. "Cointegration Testing in Panels with Common Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 683-719, December.
    11. Olgica Glavaški & Emilija Beker Pucar, 2021. "Heterogeneity of fiscal adjustments in EU economies in the pre- and post-crisis periods: common correlated effects approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 191-226, March.

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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