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Breaking the panels: An application to the GDP per capita

Author

Listed:
  • Josep Lluís Carrion-i-Silvestre
  • Tomás del Barrio-Castro
  • Enrique López-Bazo

Abstract

This paper proposes a test statistic for the null hypothesis of panel stationarity that allows for the presence of multiple structural breaks. Two different specifications are considered depending on the structural breaks affecting the individual effects and/or the time trend. The model is flexible enough to allow the number of breaks and their position to differ across individuals. The test is shown to have a standard normal limit distribution with a good finite sample performance. It is applied to typical panel data of real per capita GDP in a set of OECD countries. Copyright 2005 Royal Economic Society

Suggested Citation

  • 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.
    • Handle: RePEc:ect:emjrnl:v:8:y:2005:i:2:p:159-175
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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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