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Unit Roots and Cointegration in Panels Author info | Abstract | Publisher info | Download info | Related research | Statistics Joerg Breitung ()
M. Hashem Pesaran ()
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This paper provides a review of the literature on unit roots and cointegration in panels where the time dimension (T) and the cross section dimension (N) are relatively large. It distinguishes between the first generation tests developed on the assumption of the cross section independence, and the second generation tests that allow, in a variety of forms and degrees, the dependence that might prevail across the different units in the panel. In the analysis of cointegration the hypothesis testing and estimation problems are further complicated by the possibility of cross section cointegration which could arise if the unit roots in the different cross section units are due to common random walk components.
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Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number
CESifo Working Paper No. 1565.
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Date of creation: 2005Date of revision:
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Keywords: panel unit roots ; panel cointegration ; cross section dependence ; common effects ; Other versions of this item:
Paper Breitung, Jörg & Pesaran, M. Hashem, 2005.
"Unit roots and cointegration in panels ,"
Discussion Paper Series 1: Economic Studies
2005,42, Deutsche Bundesbank, Research Centre.
[Downloadable!] Jörg Breitung & M. Hashem Pesaran, 2005.
"Unit Roots and Cointegration in Panels ,"
IEPR Working Papers
05.32, Institute of Economic Policy Research (IEPR).
[Downloadable!] Breitung, J. & Pesaran, M.H., 2005.
"Unit Roots and Cointegration in Panels ,"
Cambridge Working Papers in Economics
0535, Faculty of Economics, University of Cambridge.
[Downloadable!] Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
This paper has been announced in the following NEP Reports :
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47, Society for Computational Economics.
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Econometrica ,
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ESE Discussion Papers
16, Edinburgh School of Economics, University of Edinburgh.
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