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Instability in cointegration regressions: a brief review with an application to money demand in Portugal

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  • Vasco De
  • A. Gabriel
  • Artur C. B. Da Silva Lopes
  • Luis Nunes

Abstract

This study addresses some modelling questions related to the possibility of structural change in models with nonstationary variables. Focusing on cointegration issues, some methodological aspects are discussed, attempting to integrate coherently the several steps of the modelling strategy. These range from unit root to cointegration testing and to testing for instability in the cointegration vector. An empirical example with Portuguese data tries to illustrate the usefulness of this approach, where a simple money demand function is estimated using an error-correction model (ECM). If a break is explicitly allowed in the cointegration vector the forecasting performance of the ECM improves.

Suggested Citation

  • Vasco De & A. Gabriel & Artur C. B. Da Silva Lopes & Luis Nunes, 2003. "Instability in cointegration regressions: a brief review with an application to money demand in Portugal," Applied Economics, Taylor & Francis Journals, vol. 35(8), pages 893-900.
    • Handle: RePEc:taf:applec:v:35:y:2003:i:8:p:893-900
    DOI: 10.1080/0003684022000018187
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    References listed on IDEAS

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    Cited by:

    1. Josep Lluís Carrion‐i‐Silvestre & Andreu Sansó, 2006. "Testing the Null of Cointegration with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(5), pages 623-646, October.
    2. Ming-Chih Lee & Chien-Liang Chiu & Wan-Hsiu Cheng, 2007. "Enhancing Forecast Accuracy By Using Long Estimation Periods," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 1(2), pages 1-9.
    3. Amir Kia, 2006. "Economic policies and demand for money: evidence from Canada," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1389-1407.
    4. R. Scott Hacker & Abdulnasser Hatemi-J, 2005. "The effect of regime shifts on the long-run relationships for Swedish money demand," Applied Economics, Taylor & Francis Journals, vol. 37(15), pages 1731-1736.
    5. Carlos Andrés Perilla Castro, 2001. "Capitales mínimos de los establecimientos de crédito," Monetaria, CEMLA, vol. 0(3), pages 271-353, julio-sep.
    6. Voronkova, Svitlana, 2004. "Equity market integration in Central European emerging markets: A cointegration analysis with shifting regimes," International Review of Financial Analysis, Elsevier, vol. 13(5), pages 633-647.
    7. Luis A. Rivas & José de Jesús Rojas, 2001. "Precios relativos, inflación subyacente y metas de inflación: un análisis para Nicaragua," Monetaria, CEMLA, vol. 0(3), pages 355-380, julio-sep.
    8. Daniel G. Garcés Díaz, 2003. "Agregados monetarios, inflación y actividad económica en México," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 18(1), pages 37-78.
    9. Daniel G. Garcés Díaz, 2001. "Determinación del nivel de precios y la dinámica inflacionaria en México," Monetaria, CEMLA, vol. 0(3), pages 241-269, julio-sep.
    10. Nikolas Stege & Christoph Wegener & Tobias Basse & Frederik Kunze, 2021. "Mapping swap rate projections on bond yields considering cointegration: an example for the use of neural networks in stress testing exercises," Annals of Operations Research, Springer, vol. 297(1), pages 309-321, February.

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