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ECM tests for cointegration in a single equation framework

Author

Listed:
  • Banerjee, Anindya
  • Dolado, Juan José
  • Mestre, Ricardo

Abstract

This paper proposes a new test for cointegration In a single-equation framework where the regressors are weakly exogenous for the parameters of interest. The test is denoted as ECM test and is based upon the OLS coefficient of the lagged dependent variable in an autoregressive-distributed lag model augmented with leads of the regressors. The limit distributions of the standardised coefficient and t-ratio versions of the ECM tests are obtained and critical values are provided. These limit distributions do not depend upon nuisance parameters but they depend on the number of regressors. Finally, we compare their power properties with those of other cointegration tests available in the literature and find under which circumstances the ECM tests have a better performance.

Suggested Citation

  • Banerjee, Anindya & Dolado, Juan José & Mestre, Ricardo, 1997. "ECM tests for cointegration in a single equation framework," DES - Working Papers. Statistics and Econometrics. WS 10607, Universidad Carlos III de Madrid. Departamento de Estadística.
  • Handle: RePEc:cte:wsrepe:10607
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    References listed on IDEAS

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    3. Kiviet, Jan F & Phillips, Garry D A, 1992. "Exact Similar Tests for Unit Roots and Cointegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 349-367, August.
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    5. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," Review of Economic Studies, Oxford University Press, vol. 57(1), pages 99-125.
    6. Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992. "The Power of Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 325-348, August.
    7. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
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    9. Hansen, B.E., 1990. "A Powerful, Simple Test For Cointegration Using Cochrane- Orcutt," RCER Working Papers 230, University of Rochester - Center for Economic Research (RCER).
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    11. Banerjee, Anindya, et al, 1986. "Exploring Equilibrium Relationships in Econometrics through Static Models: Some Monte Carlo Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 253-277, August.
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    Cited by:

    1. Pradeep Agrawal, 2001. "The relation between savings and growth: cointegration and causality evidence from Asia," Applied Economics, Taylor & Francis Journals, vol. 33(4), pages 499-513.
    2. Charalambos Pattichis, 1999. "Price and income elasticities of disaggregated import demand: results from UECMs and an application," Applied Economics, Taylor & Francis Journals, vol. 31(9), pages 1061-1071.
    3. Arranz, Miguel A. & Escribano, Álvaro, 1998. "Detrending procedures and cointegration testing: ECM tests under structural breaks," DES - Working Papers. Statistics and Econometrics. WS 4551, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Hondroyiannis, George & Papapetrou, Evangelia, 1998. "Temporal causality and the inflation-productivity relationship: Evidence from eight low inflation OECD countries," International Review of Economics & Finance, Elsevier, vol. 7(1), pages 117-135.

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    Keywords

    Cointegration tests;

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