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New Simple Tests for Panel Cointegration

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Abstract

We propose two new simple residual-based panel data tests for the null of no cointegration. The tests are simple because they do not require any correction for the temporal dependencies of the data. Yet they are able to accommodate individual specific short-run dynamics, individual specific intercept and trend terms, as well as individual specific slope parameters. A third test that is modified to accommodate for cross-sectionally dependent data is also proposed. We derive the limiting distributions of the tests and show that they are free of nuisance parameters. Our Monte Carlo results suggest that the asymptotic results are borne out well even in very small samples.

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  • Westerlund, Joakim, 2005. "New Simple Tests for Panel Cointegration," Working Papers 2005:8, Lund University, Department of Economics.
    • Handle: RePEc:hhs:lunewp:2005_008
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    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
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    13. Peter C.B. Phillips & Victor Solo, 1989. "Asymptotics for Linear Processes," Cowles Foundation Discussion Papers 932, Cowles Foundation for Research in Economics, Yale University.
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    16. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
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    Keywords

    Panel Cointegration; Residual-Based Tests; Cross-Sectional Dependence; Monte Carlo Simulation.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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