IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/3261.html
   My bibliography  Save this paper

Mixed Signals Among Tests for Panel Cointegration

Author

Listed:
  • Westerlund, Joakim
  • Basher, Syed A.

Abstract

In this paper, we study the effect that different serial correlation adjustment methods can have on panel cointegration testing. As an example, we consider the very popular tests developed by Pedroni (1999, 2004). Results based on both simulated and real data suggest that different adjustment methods can lead to significant variations in test outcome, and thus also in the conclusions.

Suggested Citation

  • Westerlund, Joakim & Basher, Syed A., 2007. "Mixed Signals Among Tests for Panel Cointegration," MPRA Paper 3261, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:3261
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/3261/1/MPRA_paper_3261.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Anindya Banerjee & Massimiliano Marcellino & Chiara Osbat, 2004. "Some cautions on the use of panel methods for integrated series of macroeconomic data," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 322-340, December.
    2. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    3. Nasri Harb, 2004. "Money demand function: a heterogeneous panel application," Applied Economics Letters, Taylor & Francis Journals, vol. 11(9), pages 551-555.
    4. Edmond, Chris, 2001. "Some Panel Cointegration Models of International R&D Spillovers," Journal of Macroeconomics, Elsevier, vol. 23(2), pages 241-260, April.
    5. Nicholas Sarantis & Chris Stewart, 2001. "Saving Behaviour in OECD Countries: Evidence from Panel Cointegration Tests," Manchester School, University of Manchester, vol. 69(s1), pages 22-41.
    6. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    7. Lee, Chien-Chiang, 2005. "Energy consumption and GDP in developing countries: A cointegrated panel analysis," Energy Economics, Elsevier, vol. 27(3), pages 415-427, May.
    8. Bahmani-Oskooee, Mohsen & Miteza, Ilir & Nasir, A. B. M., 2002. "The long-run relation between black market and official exchange rates: evidence from panel cointegration," Economics Letters, Elsevier, vol. 76(3), pages 397-404, August.
    9. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    10. Sarantis, Nicholas & Stewart, Chris, 2001. "Saving Behaviour in OECD Countries: Evidence from Panel Cointegration Tests," Manchester School, University of Manchester, vol. 69(0), pages 22-41, Supplemen.
    11. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    12. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    13. Camarero, Mariam & Tamarit, Cecilio, 2002. "A panel cointegration approach to the estimation of the peseta real exchange rate," Journal of Macroeconomics, Elsevier, vol. 24(3), pages 371-393, September.
    14. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    15. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    16. Jenkins, Michael A. & Snaith, Sean M., 2005. "Tests of Purchasing Power Parity via cointegration analysis of heterogeneous panels with consumer price indices," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 345-362, June.
    17. Dimitris Christopoulos & John Loizides & Efthymios Tsionas, 2005. "The Abrams curve of government size and unemployment: evidence from panel data," Applied Economics, Taylor & Francis Journals, vol. 37(10), pages 1193-1199.
    18. Groen, Jan J J & Kleibergen, Frank, 2003. "Likelihood-Based Cointegration Analysis in Panels of Vector Error-Correction Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(2), pages 295-318, April.
    19. Rolf Larsson & Johan Lyhagen & Mickael Lothgren, 2001. "Likelihood-based cointegration tests in heterogeneous panels," Econometrics Journal, Royal Economic Society, vol. 4(1), pages 1-41.
    20. Gutierrez, Luciano, 2003. "On the power of panel cointegration tests: a Monte Carlo comparison," Economics Letters, Elsevier, vol. 80(1), pages 105-111, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ana G. Bus y José L. Nicolini-Llosa, 2015. "La renta diferencial agrícola en Argentina en 1986-2008, con datos de panel y co-integración," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 61, pages 53-79, January-D.
    2. Syed Abul Basher & Elsayed Mousa Elsamadisy, 2012. "Country heterogeneity and long-run determinants of inflation in the Gulf Arab states," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 36(2), pages 170-203, June.
    3. Syed Abul Basher & Stefano Fachin, 2014. "Investigating long-run demand for broad money in the Gulf Arab countries," Middle East Development Journal, Taylor & Francis Journals, vol. 6(2), pages 199-214, July.
    4. Gerlach-Kristen, Petra & O'Connell, Brian & O'Toole, Conor, 2013. "How do banking crises affect aggregate consumption? Evidence from international crisis episodes," Papers WP464, Economic and Social Research Institute (ESRI).

    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. In Choi, 2013. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Valérie Mignon & Christophe Hurlin, 2007. "Une synthèse des tests de cointégration sur données de panel," Économie et Prévision, Programme National Persée, vol. 180(4), pages 241-265.
    3. António Afonso & Christophe Rault, 2010. "What do we really know about fiscal sustainability in the EU? A panel data diagnostic," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(4), pages 731-755, January.
    4. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    5. Karikallio, Hanna, 2015. "Cross-commodity Price Transmission and Integration of the EU Livestock Market of Pork and Beef: Panel Time-series Approach," 2015 Conference, August 9-14, 2015, Milan, Italy 211832, International Association of Agricultural Economists.
    6. Hasanov, Fakhri & Bulut, Cihan & Suleymanov, Elchin, 2017. "Review of energy-growth nexus: A panel analysis for ten Eurasian oil exporting countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 369-386.
    7. Österholm, Pär, 2004. "Estimating the Relationship between Age Structure and GDP in the OECD Using Panel Cointegration Methods," Working Paper Series 2004:13, Uppsala University, Department of Economics.
    8. Frauke Dobnik, 2011. "Energy Consumption and Economic Growth Revisited: Structural Breaks and Cross-section Dependence," Ruhr Economic Papers 0303, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    9. repec:zbw:rwirep:0303 is not listed on IDEAS
    10. Dobnik, Frauke, 2011. "Energy Consumption and Economic Growth Revisited: Structural Breaks and Cross-section Dependence," Ruhr Economic Papers 303, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Yoichi Matsubayashi & Takao Fujii, 2012. "Substitutability of Savings by Sectors: OECD Experiences," Discussion Papers 1215, Graduate School of Economics, Kobe University.
    12. Piotr Kębłowski, 2016. "Canonical Correlation Analysis in Panel Vector Error Correction Model. Performance Comparison," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(4), pages 203-217, December.
    13. Muhammad Shahbaz & Syed Jawad Hussain Shahzad & Mantu Kumar Mahalik & Perry Sadorsky, 2018. "How strong is the causal relationship between globalization and energy consumption in developed economies? A country-specific time-series and panel analysis," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1479-1494, March.
    14. Daniel, Betty C. & Shiamptanis, Christos, 2013. "Pushing the limit? Fiscal policy in the European Monetary Union," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2307-2321.
    15. Betty C. Daniel & Christos Shiamptanis, 2008. "Fiscal policy in the European Monetary Union," International Finance Discussion Papers 961, Board of Governors of the Federal Reserve System (U.S.).
    16. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    17. Fantazzini , Dean, 2009. "Econometric Analysis of Financial Data in Risk Management," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 14(2), pages 100-127.
    18. Stefano Fachin, 2007. "Long-run trends in internal migrations in italy: a study in panel cointegration with dependent units," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 401-428.
    19. Naeem AKRAM & Muhammad Irfan AKRAM, 2015. "Savings Behaviour In Muslim And Non-Muslim Countries In Context To The Interest Rate," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 25(2), pages 161-177.
    20. Uwe Hassler & Mehdi Hosseinkouchack, 2016. "Panel Cointegration Testing in the Presence of Linear Time Trends," Econometrics, MDPI, vol. 4(4), pages 1-16, November.
    21. Richard G. Anderson & Hailong Qian & Robert H. Rasche, 2006. "Analysis of panel vector error correction models using maximum likelihood, the bootstrap, and canonical-correlation estimators," Working Papers 2006-050, Federal Reserve Bank of St. Louis.

    More about this item

    Keywords

    Panel Data; Cointegration Testing; Parametric and Semiparametric Methods;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    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:pra:mprapa:3261. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.