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Structural changes, common stochastic trends and unit roots in panel data Author info | Abstract | Publisher info | Download info | Related research | Statistics Jushan Bai; Josep LluÃs Carrion-i-Silvestre
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In this paper we propose a new test statistic that considers multiple structural breaks to analyse the non-stationarity of a panel data set. The methodology is based on the common factor analysis in an attempt to allow for some sort of dependence across the individuals. Thus allowing for multiple structural breaks in the â€Panel Analysis of Non-stationarity in Idiosyncratic and Common components†(PANIC) methodology increases the degree of heterogeneity when assessing the stochastic properties of the panel data set
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Paper provided by Econometric Society in its series Econometric Society 2004 North American Summer Meetings with number
345.
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Date of creation: 11 Aug 2004Date of revision:
Handle: RePEc:ecm:nasm04:345Contact details of provider: Phone: 1 212 998 3820 Fax: 1 212 995 4487 Email: Web page: http://www.econometricsociety.org/pastmeetings.asp More information through EDIRC
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Keywords: multiple structural breaks common factors panel data unit root tests principal components Other versions of this item:
Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
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Pui Sun Tam & University of Macau, 2006.
"Breaking trend panel unit root tests ,"
Computing in Economics and Finance 2006
341, Society for Computational Economics.
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