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Panel unit root tests in the presence of cross-sectional dependence: finite sample performance and an application

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  • S. de Silva
  • K. Hadri
  • A. R. Tremayne

Abstract

This paper examines the finite sample properties of three testing regimes for the null hypothesis of a panel unit root against stationary alternatives in the presence of cross-sectional correlation. The regimes of Bai and Ng (2004), Moon and Perron (2004) and Pesaran (2007) are assessed in the presence of multiple factors and also other non-standard situations. The behaviour of some information criteria used to determine the number of factors in a panel is examined and new information criteria with improved properties in small-N panels proposed. An application to the efficient markets hypothesis is also provided. The null hypothesis of a panel random walk is not rejected by any of the tests, supporting the efficient markets hypothesis in the financial services sector of the Australian Stock Exchange. Copyright � 2009 The Author(s). Journal compilation � Royal Economic Society 2009

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Bibliographic Info

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

Volume (Year): 12 (2009)
Issue (Month): 2 (07)
Pages: 340-366

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Handle: RePEc:ect:emjrnl:v:12:y:2009:i:2:p:340-366

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Cited by:
  1. Robertson, Donald & Sarafidis, Vasilis & Westerlund, Joakim, 2014. "GMM Unit Root Inference in Generally Trending and Cross-Correlated Dynamic Panels," MPRA Paper 53419, University Library of Munich, Germany.
  2. Becheri, I.G., 2012. "Limiting experiments for panel-data and jump-diffusion models," Open Access publications from Tilburg University urn:nbn:nl:ui:12-5661649, Tilburg University.
  3. Selin Özyurt & Timo Mitze, 2012. "The Spatial Dimension of Trade- and FDI-driven Productivity Growth in Chinese Provinces – A Global Cointegration Approach," Ruhr Economic Papers 0308, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  4. Amélie Charles & Olivier Darne & Jean-François Hoarau, 2012. "Convergence of real per capita GDP within COMESA countries: A panel unit root evidence," The Annals of Regional Science, Springer, vol. 49(1), pages 53-71, August.
  5. Kaddour Hadri & Eiji Kurozumi, 2008. "A Simple Panel Stationarity Test in the Presence of Cross-Sectional Dependence," Global COE Hi-Stat Discussion Paper Series gd08-016, Institute of Economic Research, Hitotsubashi University.
  6. Eiji Kurozumi & Daisuke Yamazaki & Kaddour Hadri, 2012. "Covariate Unit Root Test for Cross-Sectionally Dependent Panel Data," Global COE Hi-Stat Discussion Paper Series gd12-256, Institute of Economic Research, Hitotsubashi University.
  7. Mitze, Timo & Reinkowski, Janina, 2010. "Testing the Validity of the Neoclassical Migration Model: Overall and Age-Group Specific Estimation Results for German Spatial Planning Regions," MPRA Paper 23616, University Library of Munich, Germany.
  8. Joakim Westerlund & Mehdi Hosseinkouchack & Martin Solberger, . "The Local Power of the CADF and CIPS Panel Unit Root Tests," Financial Econometics Series 2014_05, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
  9. HASHIGUCHI, Yoshihiro & HAMORI, Shigeyuki, 2010. "Small sample properties of CIPS panel unit root test under conditional and unconditional heteroscedasticity," MPRA Paper 24053, University Library of Munich, Germany.
  10. Amélie Charles & Olivier Darné & Jean-François Hoarau, 2009. "Does the real GDP per capita convergence hold in the Common Market for Eastern and Southern Africa?," Working Papers hal-00422522, HAL.

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