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Simple Tests for Cointegration in Dependent Panels with Structural Breaks

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Abstract
This paper develops two very simple tests for the null hypothesis of no cointegration in panel data. The tests are general enough to allow for heteroskedastic and serially correlated errors, unit specific time trends, cross-sectional dependence and an unknown structural break in both the intercept and slope of the cointegrated regression, which may be located different dates for different units. The limiting distributions of the tests are derived, and are found to be normal and free of nuisance parameters under the null. A small simulation study is also conducted to investigate the small-sample properties of the tests.

Suggested Citation

  • Westerlund, Joakim & Edgerton, David, 2006. "Simple Tests for Cointegration in Dependent Panels with Structural Breaks," Working Papers 2006:13, Lund University, Department of Economics, revised 28 Jan 2007.
  • Handle: RePEc:hhs:lunewp:2006_013
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    22. Josep Lluís Carrion-i-Silvestre & Tomás del Barrio-Castro & Enrique López-Bazo, 2005. "Breaking the panels: An application to the GDP per capita," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 159-175, July.
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    25. Westerlund, Joakim, 2006. "Testing for panel cointegration with a level break," Economics Letters, Elsevier, vol. 91(1), pages 27-33, April.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Panel Cointegration; Cointegration Test; Structural Break; Cross-Sectional Dependence; Common Factor;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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