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Ciclos Económicos Sincronizados y Uniones Monetarias en Centroamérica y la República Dominicana
[Business Cycles Synchronisation and Monetary Union in Central American and the Dominican Republic]

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  • Cruz-Rodríguez, Alexis

Abstract

This paper presents an application of the techniques of regime change (univariate and bivariate) to analyze the behavior of the business cycle in Central America, Belize, Panama, the Dominican Republic and the United States, by detecting changes in the average growth and identifying differences between contractions and expansions regarding persistence and duration. In general, periods of expansions are more persistent and longer than contractions. From an international perspective, no evidence to support the idea of a common business cycle were found. The relationship between Honduras and Panama shows a strong correlation of their business cycles. However, the correlation of these countries with the United States does not suggest a process of dollarization.

Suggested Citation

  • Cruz-Rodríguez, Alexis, 2005. "Ciclos Económicos Sincronizados y Uniones Monetarias en Centroamérica y la República Dominicana [Business Cycles Synchronisation and Monetary Union in Central American and the Dominican Republic]," MPRA Paper 72104, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:72104
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    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    3. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    4. Clements, Michael P & Krolzig, Hans-Martin, 2003. "Business Cycle Asymmetries: Characterization and Testing Based on Markov-Switching Autoregressions," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 196-211, January.
    5. Paul Hallwood & Ian W. Marsh & Joerg Scheibe, 2004. "An Assessment of the Case for Monetary Union or Official Dollarization in Argentina, Brazil, Chile, Uruguay and Venezuela," Working papers 2004-13, University of Connecticut, Department of Economics.
    6. Diebold, Francis X & Rudebusch, Glenn D, 1996. "Measuring Business Cycles: A Modern Perspective," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 67-77, February.
    7. Paul Hallwood & Ian W. Marsh & Jorg Scheibe, 2001. "Official Dollarization in Latin America: Could it Work?," Working papers 2001-06, University of Connecticut, Department of Economics.
    8. Hamilton, James D, 1991. "A Quasi-Bayesian Approach to Estimating Parameters for Mixtures of Normal Distributions," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 27-39, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Business cycle; regime switching models; dollarization.;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration

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