IDEAS home Printed from https://ideas.repec.org/p/hhs/hastef/0299.html
   My bibliography  Save this paper

On the power and interpretation of panel unit root tests

Author

Listed:
  • Karlsson, Sune

    (Dept. of Economic Statistics, Stockholm School of Economics)

  • Löthgren, Mickael

    (Dept. of Economic Statistics, Stockholm School of Economics)

Abstract

We demonstrate that panel unit root tests can have high power when a small fraction of the series are stationary and may lack power when a large fraction is stationary. The acceptance or rejection of the null is thus not sufficient evidence to conclude that all series have a unit root or that all are stationary.

Suggested Citation

  • Karlsson, Sune & Löthgren, Mickael, 1999. "On the power and interpretation of panel unit root tests," SSE/EFI Working Paper Series in Economics and Finance 299, Stockholm School of Economics.
    • Handle: RePEc:hhs:hastef:0299
    as

    Download full text from publisher

    File URL: http://swopec.hhs.se/hastef/papers/hastef0299.pdf.zip
    File Function: Complete Rendering
    Download Restriction: no
    File URL: http://swopec.hhs.se/hastef/papers/hastef0299.pdf
    File Function: Complete Rendering
    Download Restriction: no
    File URL: http://swopec.hhs.se/hastef/papers/hastef0299.ps
    File Function: Complete Rendering
    Download Restriction: no
    File URL: http://swopec.hhs.se/hastef/papers/hastef0299.ps.zip
    File Function: Complete Rendering
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Quah, Danny, 1994. "Exploiting cross-section variation for unit root inference in dynamic data," Economics Letters, Elsevier, vol. 44(1-2), pages 9-19.
    2. Oh, Keun-Yeob, 1996. "Purchasing power parity and unit root tests using panel data," Journal of International Money and Finance, Elsevier, vol. 15(3), pages 405-418, June.
    3. Culver, Sarah E & Papell, David H, 1997. "Is There a Unit Root in the Inflation Rate? Evidence from Sequential Break and Panel Data Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(4), pages 435-444, July-Aug..
    4. Wu, Yangru, 1996. "Are Real Exchange Rates Nonstationary? Evidence from a Panel-Data Test," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(1), pages 54-63, February.
    5. McCoskey, Suzanne K. & Selden, Thomas M., 1998. "Health care expenditures and GDP: panel data unit root test results," Journal of Health Economics, Elsevier, vol. 17(3), pages 369-376, June.
    6. Papell, David H., 1997. "Searching for stationarity: Purchasing power parity under the current float," Journal of International Economics, Elsevier, vol. 43(3-4), pages 313-332, November.
    7. Coakley, Jerry & Fuertes, Ana Maria, 1997. "New panel unit root tests of PPP," Economics Letters, Elsevier, vol. 57(1), pages 17-22, November.
    8. Song, Frank M. & Wu, Yangru, 1998. "Hysteresis in unemployment: Evidence from OECD countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 38(2), pages 181-192.
    9. MacDonald, Ronald, 1996. "Panel unit root tests and real exchange rates," Economics Letters, Elsevier, vol. 50(1), pages 7-11, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. David E. Rapach, 2002. "Are Real GDP Levels Nonstationary? Evidence from Panel Data Tests," Southern Economic Journal, John Wiley & Sons, vol. 68(3), pages 473-495, January.
    3. Chiu, Ru-Lin, 2002. "Testing the purchasing power parity in panel data," International Review of Economics & Finance, Elsevier, vol. 11(4), pages 349-362.
    4. R. Pala & E. Marrocu & R. Paci, 2000. "Estimation of total factor productivity for regions and sectors in Italy. A panel cointegration approach," Working Paper CRENoS 200016, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    5. Franco Bevilacqua & Adriaan van Zon, 2004. "Random walks and non-linear paths in macroeconomic time series: some evidence and implications," Chapters, in: John Foster & Werner Hölzl (ed.), Applied Evolutionary Economics and Complex Systems, chapter 3, Edward Elgar Publishing.
    6. Yao Rao & Kaddour Hadri & Ruijun Bu, 2010. "Testing For Stationarity In Heterogeneous Panel Data In The Case Of Model Misspecification," Bulletin of Economic Research, Wiley Blackwell, vol. 62(3), pages 209-225, July.
    7. Martin Wagner, 2008. "On PPP, unit roots and panels," Empirical Economics, Springer, vol. 35(2), pages 229-249, September.
    8. Caporale, Guglielmo Maria & Cerrato, Mario, 2004. "Panel Data Tests of PPP. A Critical Overview," Economics Series 159, Institute for Advanced Studies.
    9. 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.
    10. Holmes, Mark J., 2001. "New Evidence on Real Exchange Rate Stationarity and Purchasing Power Parity in Less Developed Countries," Journal of Macroeconomics, Elsevier, vol. 23(4), pages 601-614, October.
    11. Barisone, Giacomo & Driver, Rebecca L. & Wren-Lewis, Simon, 2006. "Are our FEERs justified?," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 741-759, August.
    12. Ozgur Aslan & Levent Korap, 2009. "Are real exchange rates mean reverting? Evidence from a panel of OECD countries," Applied Economics Letters, Taylor & Francis Journals, vol. 16(1), pages 23-27.
    13. Tsangyao Chang & Kuei-Chiu Lee & Chien-Chung Nieh & Ching-Chun Wei, 2005. "An empirical note on testing hysteresis in unemployment for ten European countries: panel SURADF approach," Applied Economics Letters, Taylor & Francis Journals, vol. 12(14), pages 881-886.
    14. Syed A. Basher & Josep Lluís Carrion-i-Silvestre, 2007. "Another Look at the Null of Stationary RealExchange Rates. Panel Data with Structural Breaks and Cross-section Dependence," IREA Working Papers 200710, University of Barcelona, Research Institute of Applied Economics, revised May 2007.
    15. Saeed Heravi & Kerry Patterson, 2005. "Optimal And Adaptive Semi‐Parametric Narrowband And Broadband And Maximum Likelihood Estimation Of The Long‐Memory Parameter For Real Exchange Rates," Manchester School, University of Manchester, vol. 73(2), pages 165-213, March.
    16. G. MacDonald & D. Allen & S. Cruickshank, 2002. "Purchasing Power Parity-evidence from a new panel test," Applied Economics, Taylor & Francis Journals, vol. 34(11), pages 1319-1324.
    17. Mkenda, Beatrice Kalinda, 2001. "An Empirical Test of Purchasing Power Parity in Selected African Countries - a Panel Data Approach," Working Papers in Economics 39, University of Gothenburg, Department of Economics.
    18. Lean Hooi Hooi & Russell Smyth, 2007. "Are Asian real exchange rates mean reverting? Evidence from univariate and panel LM unit root tests with one and two structural breaks," Applied Economics, Taylor & Francis Journals, vol. 39(16), pages 2109-2120.
    19. Franses, Ph.H.B.F. & van Dijk, D.J.C., 2002. "A simple test for PPP among traded goods," Econometric Institute Research Papers EI 2002-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    20. Cushman, David O. & Michael, Nils, 2011. "Nonlinear trends in real exchange rates: A panel unit root test approach," Journal of International Money and Finance, Elsevier, vol. 30(8), pages 1619-1637.

    More about this item

    Keywords

    Dynamic panels; Monte Carlo; heterogeneity;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:hastef:0299. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Helena Lundin (email available below). General contact details of provider: https://edirc.repec.org/data/erhhsse.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.