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Robust Unit Root and Cointegration Rank Tests for Panels and Large Systems

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Abstract

This study develops new tests for unit roots and cointegration rank in heterogeneous time series panels using methods that are robust to the presence of both incidental trends and cross sectional dependency of unknown form. Furthermore, the procedures do not require a choice of lag truncation or bandwidth to accommodate higher order serial correlation. The cointegration rank tests can also be implemented in relatively large dimensioned systems of equations for which conventional VECM based tests become infeasible. Monte Carlo simulations demonstrate that the procedures have high power and good size properties even in panels with relatively small dimensions.

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  • Peter Pedroni & Tim Vogelsang, 2005. "Robust Unit Root and Cointegration Rank Tests for Panels and Large Systems," Department of Economics Working Papers 2005-04, Department of Economics, Williams College.
    • Handle: RePEc:wil:wileco:2005-04
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    Cited by:

    1. Chen, Ping-Yu & Chen, Sheng-Tung & Hsu, Chia-Sheng & Chen, Chi-Chung, 2016. "Modeling the global relationships among economic growth, energy consumption and CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 420-431.
    2. Sean Holly & Mehdi Raissi, 2009. "The Macroeconomic Effects of European Financial Development: A Heterogenous Panel Analysis," Working Paper / FINESS 1.4, DIW Berlin, German Institute for Economic Research.
    3. Mulatu F. Zehirun & Marthinus C. Breitenbach & Francis M. Kemegue, 2015. "Assessment of Monetary Union in SADC: Evidence from Cointegration and Panel Unit Root Tests," Working Papers 201502, University of Pretoria, Department of Economics.
    4. N. Vasudeva Murthy, 2009. "The Feldstein–Horioka puzzle in Latin American and Caribbean countries: a panel cointegration analysis," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 33(2), pages 176-188, April.
    5. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
    6. 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.
    7. Peter Pedroni, 2007. "Social capital, barriers to production and capital shares: implications for the importance of parameter heterogeneity from a nonstationary panel approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 429-451.
    8. Konstantinos Vergos & Benjamin Wanger, 2019. "Evaluating interdependencies in African markets A VECM approach," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 65-85.

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    More about this item

    Keywords

    Panel Unit Roots; Cointegration Rank Tests; Robust Autocovariance Estimation;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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