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The Contribution Of Domestic, Regional And International Factors To Latin America'S Business Cycle

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  • Melisso Boschi
  • Alessandro Girardi

Abstract

This paper quantifies the relative contribution of domestic, regional and international factors to the fluctuation of domestic output in six key Latin American (LA) countries: Argentina, Bolivia, Brazil, Chile, Mexico and Peru. Using quarterly data over the period 1980:1-2003:4, a multi-variate, multi-country time series model was estimated to study the economic interdependence among LA countries and, in addition, between each of them and the three world largest industrial economies: the US, the Euro Area and Japan. Falsifying a common suspicion, it is shown that the proportion of LA countries’ domestic output variability explained by industrial countries’ factors is modest. By contrast, domestic and regional factors account for the main share of output variability at all simulation horizons. The implications for the choice of the exchange rate regime are also discussed.

Suggested Citation

  • Melisso Boschi & Alessandro Girardi, 2008. "The Contribution Of Domestic, Regional And International Factors To Latin America'S Business Cycle," CAMA Working Papers 2008-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    • Handle: RePEc:een:camaaa:2008-33
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    Cited by:

    1. Melisso Boschi & Massimiliano Marzo & Simone Salotti, 2015. "Domestic versus international determinants of European business cycles: a GVAR approach," Empirical Economics, Springer, vol. 49(2), pages 403-421, September.
    2. Flores, Jairo, 2016. "Transmisión de choques de política monetaria de EstadosUnidos sobre América Latina: Un enfoque GVAR," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 32, pages 35-54.
    3. Guglielmo Maria Caporale & Alessandro Girardi, 2016. "Business cycles, international trade and capital flows: evidence from Latin America," Empirical Economics, Springer, vol. 50(2), pages 231-252, March.
    4. Caporale, Guglielmo Maria & Girardi, Alessandro, 2013. "Fiscal spillovers in the Euro area," Journal of International Money and Finance, Elsevier, vol. 38(C), pages 84.1-84.16.
    5. Ramirez, Francisco A., 2009. "Perturbaciones Internacionales y Fluctuaciones del Producto Interno Bruto en una Economía en Desarrollo: Evidencia de República Dominicana para el Período 1998-2008 [International Shocks and GDP fl," MPRA Paper 38987, University Library of Munich, Germany.
    6. Fatma Erdem & Erdal Özmen, 2015. "Exchange Rate Regimes and Business Cycles: An Empirical Investigation," Open Economies Review, Springer, vol. 26(5), pages 1041-1058, November.
    7. Berry A. Harahap & Pakasa Bary & Anggita Cinditya M. Kusuma, 2020. "The Determinants of Indonesia’s Business Cycle," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 215-235.
    8. Xue, Huidan & Li, Chenguang & Wang, Liming, 2018. "The Global Vector Error Correction Model application on the dynamics and drivers of the World Butter Export Prices: Evidence from the U.S., the EU, and New Zealand," 2018 Annual Meeting, August 5-7, Washington, D.C. 273971, Agricultural and Applied Economics Association.
    9. Miles, William, 2017. "The impact of the US on Latin American business cycles: A new approach," Economic Systems, Elsevier, vol. 41(2), pages 320-331.
    10. Melisso Boschi, 2012. "Long- and short-run determinants of capital flows to Latin America: a long-run structural GVAR model," Empirical Economics, Springer, vol. 43(3), pages 1041-1071, December.
    11. Chen, Y. & He, M. & Rudkin, S., 2017. "Understanding Chinese provincial real estate investment: A Global VAR perspective," Economic Modelling, Elsevier, vol. 67(C), pages 248-260.
    12. Alexander Chudik & Janet Koech & Mark Wynne, 2021. "The Heterogeneous Effects of Global and National Business Cycles on Employment in US States and Metropolitan Areas," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 495-517, April.
    13. repec:udt:wpbsdt:2012-03 is not listed on IDEAS
    14. Degiannakis, Stavros & Duffy, David & Filis, George & Livada, Alexandra, 2016. "Business cycle synchronisation in EMU: Can fiscal policy bring member-countries closer?," Economic Modelling, Elsevier, vol. 52(PB), pages 551-563.
    15. Daniel Zerfu Gurara & Mthuli Ncube, 2013. "We develop a global vector autoregressive model (GVAR) to analyze the global growth spillover effects on Africa. The model contains 46 African countries and 30 developed and emerging market countries,," Working Paper Series 981, African Development Bank.
    16. Anastasia Antsygina & Alexey Zhukov & Anastasiya Sypchenko, 2017. "Macroeconomic Determinants of the Entrepreneurial Activity at Different Business Cycle Phases," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1095-1106.

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    More about this item

    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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