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Testing for Panel Cointegration using Common Correlated Effects Estimators

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  • Anindya Banerjee
  • Josep Lluis Carrion-i-Silvestre

Abstract

Spurious regression analysis in panel data when the time series are cross-section dependent is analyzed in the paper. We show that consistent estimation of the long-run average parameter is possible once we control for cross-section dependence using cross-section averages in the spirit of the common correlated effects approach in Pesaran (2006). This result is used to design a panel cointegration test statistic accounting for cross-section dependence. The performance of the proposal is investigated in comparison with factor-based methods to control for cross-section dependence when strong, semi-weak and weak cross-section dependence may be present.

Suggested Citation

  • Anindya Banerjee & Josep Lluis Carrion-i-Silvestre, 2014. "Testing for Panel Cointegration using Common Correlated Effects Estimators," Discussion Papers 15-02, Department of Economics, University of Birmingham.
    • Handle: RePEc:bir:birmec:15-02
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    More about this item

    Keywords

    panel cointegration; cross-section dependence; common factors; spatial econometrics;
    All these keywords.

    JEL classification:

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

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