Mixed signals among tests for panel cointegration
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.
(This abstract was borrowed from another version of this item.)
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Anindya Banerjee & Massimiliano Marcellino & Chiara Osbat, 2004.
"Some cautions on the use of panel methods for integrated series of macroeconomic data,"
Royal Economic Society, vol. 7(2), pages 322-340, December.
- Anindya Banerjee & Massimiliano Marcellino & Chiara Osbat, . "Some Cautions on the Use of Panel Methods for Integrated Series of Macro-Economic Data," Working Papers 170, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Banerjee, A. & Marcellino, M. & Osbat, C., 2000. "Some Cautions on the Use of Panel Methods for Integrated Series of Macro-economic Data," Economics Working Papers eco2000/20, European University Institute.
- Mariam Camarero & Cecilio Tamarit, 2001.
"A panel cointegration approach to the estimation of the peseta real exchange rate,"
01-08, Asociación Española de Economía y Finanzas Internacionales.
- 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.
- Mariam Camarero & Cecilio Tamarit, . "A panel cointegration approach to the estimation of the peseta real exchange rate," Working Papers on International Economics and Finance 01-08, FEDEA.
- 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.
- Gutierrez, Luciano, 2003. "On the power of panel cointegration tests: a Monte Carlo comparison," Economics Letters, Elsevier, vol. 80(1), pages 105-111, July.
- 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.
- 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 653-70, Special I.
- Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Department of Economics Working Papers 2000-02, Department of Economics, Williams College.
- Larsson, Rolf & Lyhagen, Johan & Löthgren, Mickael, 1998.
"Likelihood-Based Cointegration Tests in Heterogeneous Panels,"
SSE/EFI Working Paper Series in Economics and Finance
250, Stockholm School of Economics, revised 27 Aug 1998.
- Rolf Larsson & Johan Lyhagen & Mickael Lothgren, 2001. "Likelihood-based cointegration tests in heterogeneous panels," Econometrics Journal, Royal Economic Society, vol. 4(1), pages 41.
- Edmond, Chris, 2001. "Some Panel Cointegration Models of International R&D Spillovers," Journal of Macroeconomics, Elsevier, vol. 23(2), pages 241-260, April.
- 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.
- Peter Pedroni, 2004.
"Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis,"
Department of Economics Working Papers
2004-15, Department of Economics, Williams College.
- 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(03), pages 597-625, June.
- Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
- Nasri Harb, 2003.
"Money Demand Function: A heterogeneous Panel Application,"
Economics Working Papers
03/04-01, Department of Economics, College of Business and Economics, UAE University.
- Nasri Harb, 2004. "Money demand function: a heterogeneous panel application," Applied Economics Letters, Taylor & Francis Journals, vol. 11(9), pages 551-555.
- Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
- 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.
- Westerlund, Joakim, 2005.
"New Simple Tests for Panel Cointegration,"
2005:8, Lund University, Department of Economics.
- 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.
- 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.
When requesting a correction, please mention this item's handle: RePEc:eee:ecmode:v:25:y:2008:i:1:p:128-136. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If references are entirely missing, you can add them using this form.