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Breaking the panels: An application to the GDP per capita

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  • Josep Llu�s Carrion-i-Silvestre
  • Tom�s del Barrio-Castro
  • Enrique L�pez-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

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Bibliographic Info

Article provided by Royal Economic Society in its journal The Econometrics Journal.

Volume (Year): 8 (2005)
Issue (Month): 2 (07)
Pages: 159-175

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

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  1. Josep Lluís Carrion-i-Silvestre & Tomás del Barrio-Castro & Enrique López-Bazo, 2002. "Level shifts in a panel data based unit root test. An application to the rate of unemployment," 10th International Conference on Panel Data, Berlin, July 5-6, 2002, International Conferences on Panel Data C5-2, International Conferences on Panel Data.
  2. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, Royal Economic Society, vol. 3(2), pages 148-161.
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  11. Fabio Busetti & Andrew C Harvey, 1998. "Testing for the Presence of a Random Walk in Series with Structural Breaks - (Now published in Journal of Time Series Analysis, 22 (2001), pp.127-150.)," STICERD - Econometrics Paper Series, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE /1998/365, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  12. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers, Michigan State - Econometrics and Economic Theory 8905, Michigan State - Econometrics and Economic Theory.
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  14. Kenneth D. West & Whitney K. Newey, 1995. "Automatic Lag Selection in Covariance Matrix Estimation," NBER Technical Working Papers 0144, National Bureau of Economic Research, Inc.
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