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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

Suggested Citation

  • S. de Silva & K. Hadri & A. R. Tremayne, 2009. "Panel unit root tests in the presence of cross-sectional dependence: finite sample performance and an application," Econometrics Journal, Royal Economic Society, vol. 12(2), pages 340-366, July.
  • Handle: RePEc:ect:emjrnl:v:12:y:2009:i:2:p:340-366
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    Cited by:

    1. Timo Mitze, 2012. "Testing the Neoclassical Migration Model: Overall and Age-Group Specific Results for German Regions," Lecture Notes in Economics and Mathematical Systems, in: Empirical Modelling in Regional Science, edition 127, chapter 0, pages 53-82, Springer.
    2. Hadri, Kaddour & Kurozumi, Eiji, 2012. "A simple panel stationarity test in the presence of serial correlation and a common factor," Economics Letters, Elsevier, vol. 115(1), pages 31-34.
    3. 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.
    4. 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.
    5. Timo Mitze & Selin Özyurt, 2014. "The Spatial Dimension of Trade- and FDI-driven Productivity Growth in Chinese Provinces: A Global Cointegration Approach," Growth and Change, Wiley Blackwell, vol. 45(2), pages 263-291, June.
    6. repec:zbw:rwirep:0226 is not listed on IDEAS
    7. Becheri, I.G., 2012. "Limiting experiments for panel-data and jump-diffusion models," Other publications TiSEM 7e53f6cf-fab1-4f86-9e5d-b, Tilburg University, School of Economics and Management.
    8. Hadri, Kaddour & Kurozumi, Eiji & 黒住, 英司, 2008. "A Simple Panel Stationarity Test in the Presence of Cross-Sectional Dependence," CCES Discussion Paper Series 7, Center for Research on Contemporary Economic Systems, Graduate School of Economics, Hitotsubashi University.
    9. Juan Carlos Aquino & N. R. Ramírez-Rondán, 2020. "Estimating factor shares from nonstationary panel data," Empirical Economics, Springer, vol. 58(5), pages 2353-2380, May.
    10. Shigeyuki Hamori & Yoshihiro Hashiguchi, 2012. "Small sample properties of CIPS panel unit root test under conditional and unconditional heteroskedasticity," Economics Bulletin, AccessEcon, vol. 32(3), pages 2353-2365.
    11. 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;Western Regional Science Association, vol. 49(1), pages 53-71, August.
    12. Chingnun Lee & Jyh-Lin Wu & Lixiong Yang, 2016. "A Simple Panel Unit-Root Test with Smooth Breaks in the Presence of a Multifactor Error Structure," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 365-393, June.
    13. 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.
    14. repec:zbw:rwirep:0308 is not listed on IDEAS
    15. Munir, Qaiser & Lean, Hooi Hooi & Smyth, Russell, 2020. "CO2 emissions, energy consumption and economic growth in the ASEAN-5 countries: A cross-sectional dependence approach," Energy Economics, Elsevier, vol. 85(C).
    16. 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.
    17. Timo Mitze & Janina Reinkowski, 2010. "Testing the Neoclassical Migration Model: Overall and Age-Group Specific Results for German Regions," Ruhr Economic Papers 0226, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    18. Shuddhasattwa Rafiq & Ruhul Salim, 2014. "Does oil price volatility matter for Asian emerging economies?," Economic Analysis and Policy, Elsevier, vol. 44(4), pages 417-441.
    19. Honoré Tekam Oumbé & Ronald Djeunankan & Alain Mekia Ndzana, 2023. "Does information and communication technologies affect economic complexity?," SN Business & Economics, Springer, vol. 3(4), pages 1-25, April.
    20. 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.

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