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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
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Nasri Harb, 2004. "Money demand function: a heterogeneous panel application," Applied Economics Letters, Taylor & Francis Journals, vol. 11(9), pages 551-555.
    6. 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.
    7. Edmond, Chris, 2001. "Some Panel Cointegration Models of International R&D Spillovers," Journal of Macroeconomics, Elsevier, vol. 23(2), pages 241-260, April.
    8. 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.
    9. 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.
    10. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. repec:bla:manchs:v:69:y:2001:i:0:p:22-41 is not listed on IDEAS
    16. Gutierrez, Luciano, 2003. "On the power of panel cointegration tests: a Monte Carlo comparison," Economics Letters, Elsevier, vol. 80(1), pages 105-111, July.
    17. 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.
    18. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    19. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    20. 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.
    Full references (including those not matched with items on IDEAS)

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    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. Li, Jiachen & Li, Hao & Shang, Xianfa & Pu, Yang & Zhang, Mengtian & Pan, Xingchen, 2024. "Exploring the impact of fintech, human capital, mineral policy, and institutional quality on poverty traps: Evidence from resource-dependent economies," Resources Policy, Elsevier, vol. 93(C).
    3. 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.
    4. 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.
    5. 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).

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    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

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