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A Principal Components Analysis of Common Stochastic Trends in Heterogeneous Panel Data: Some Monte Carlo Evidence

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Author Info
 Hall, Stephen
Lazarova, Stepana
Urga, Giovanni

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Abstract

In this paper we propose a new approach based on principal components analysis to test for the number of common stochastic trends driving the non-stationary series in a panel data set. This test has the advantage that it is also consistent when there is a mixture of I(0) and I(1) series, making it unnecessary to pre-test the panel for unit root. Furthermore, the test solves the problem of dimensionality encountered in large panel data sets. Copyright 1999 by Blackwell Publishing Ltd

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Article provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics & Statistics.

Volume (Year): 61 (1999)
Issue (Month): 0 (Special Issue Nov.)
Pages: 749-67
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Handle: RePEc:bla:obuest:v:61:y:1999:i:0:p:749-67

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  1. Mark J. Holmes & Arthur Grimes, 2005. "Is there long-run convergence of regional house prices in the UK?," Working Papers 05_11, Motu Economic and Public Policy Research. [Downloadable!]
  2. Giovanni Urga & Lorenzo Trapani, 2004. "Cointegration versus Spurious Regression in Heterogeneous Panels," Econometric Society 2004 North American Summer Meetings 266, Econometric Society. [Downloadable!]
  3. Hecq, A. & Palm, F. C. & Urbain, C. J.-P., 2002. "Separation, Weak Exogeneity and P-T Decomposition in Cointegrated VAR Systems with Common Features," CESifo Working Paper Series CESifo Working Paper No. , CESifo GmbH. [Downloadable!]
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  4. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University. [Downloadable!]
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This page was last updated on 2008-11-21.

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