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Socios comerciales y crecimiento en América Latina

Listed author(s):
  • Diego Winkelried Quezada

    (Banco Central de Reserva del Perú)

  • Miguel Ángel Saldarriaga

    (Banco Central de Reserva del Perú)

Este trabajo evalúa cómo choques originados en grandes economías alrededor del mundo se han trasmitido a las tasas de crecimiento de países latinoamericanos. Para ello se propone, calcula, evalúa y simula un modelo VAR estructural bastante parsimonioso, identificado a través de vínculos de comercio bilaterales. Dado que los pesos de comercio evolucionan a lo largo de la muestra, los efectos de los choques son cambiantes con el tiempo. Por tanto, es posible cuantificar cómo el crecimiento de la región se ha visto afectado por vínculos comerciales más estrechos con economías emergentes de rápido crecimiento, y cómo ha respondido a una nueva estructura de comercio mundial, con China como protagonista. Se encuentra que cerca de la mitad del vigoroso crecimiento registrado en América Latina a finales de la década del 2000 puede ser atribuida a multiplicadores (directos y principalmente indirectos) inducidos por el espectacular crecimiento de la economía china durante el mismo periodo

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This book is provided by Centro de Estudios Monetarios Latinoamericanos, CEMLA in its series Premio de Banca Central Rodrigo Gómez / Central Banking Award "Rodrigo Gómez" with number prg2012 and published in 2012.
ISBN: 978-607-7734-45-1
Handle: RePEc:cml:prodgz:prg2012
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References listed on IDEAS
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  1. Tilak Abeysinghe & Kristin Forbes, 2005. "Trade Linkages and Output-Multiplier Effects: a Structural VAR Approach with a Focus on Asia," Review of International Economics, Wiley Blackwell, vol. 13(2), pages 356-375, May.
  2. Glick, Reuven & Rogoff, Kenneth, 1995. "Global versus country-specific productivity shocks and the current account," Journal of Monetary Economics, Elsevier, vol. 35(1), pages 159-192, February.
  3. Alessandro Rebucci & Ambrogio Cesa-Bianchi & M. Hashem Pesaran & TengTeng Xu, 2012. "China's Emergence in the World Economy and Business Cycles in Latin America," ECONOMIA JOURNAL OF THE LATIN AMERICAN AND CARIBBEAN ECONOMIC ASSOCIATION, ECONOMIA JOURNAL OF THE LATIN AMERICAN AND CARIBBEAN ECONOMIC ASSOCIATION, vol. 0(Spring 20), pages 1-75, January.
  4. Mutl, Jan, 2009. "Consistent Estimation of Global VAR Models," Economics Series 234, Institute for Advanced Studies.
  5. Filippo di Mauro & L. Vanessa Smith & Stephane Dees & M. Hashem Pesaran, 2007. "Exploring the international linkages of the euro area: a global VAR analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 1-38.
  6. Fabio Canova & Matteo Ciccarelli, 2009. "Estimating Multicountry Var Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 929-959, August.
  7. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
  8. Norrbin, Stefan C. & Schlagenhauf, Don E., 1996. "The role of international factors in the business cycle: A multi-country study," Journal of International Economics, Elsevier, vol. 40(1-2), pages 85-104, February.
  9. Abeysinghe, Tilak, 2001. "Estimation of direct and indirect impact of oil price on growth," Economics Letters, Elsevier, vol. 73(2), pages 147-153, November.
  10. Fabio Canova, 2005. "The transmission of US shocks to Latin America," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 229-251.
  11. Gulasekaran Rajaguru & Tilak Abeysinghe, 2004. "Quarterly real GDP estimates for China and ASEAN4 with a forecast evaluation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 431-447.
  12. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 821-852.
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