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Importancia de las rigideces nominales y reales en Colombia: un enfoque de equilibrio general dinámico y estocástico

  • Pietro Bonaldi

    ()

  • Andrés González

    ()

  • Diego Rodríguez

    ()

Este trabajo pretende determinar qué conjunto de rigideces nominales y reales se debe incluir en un modelo DSGE para replicar la dinámica de las variables agregadas de la economía colombiana. Con este fin, se estiman varios modelos DSGE con distintas combinaciones de rigideces nominales y reales usando métodos Bayesianos. Los resultados indican que el ajuste empírico del modelo está determinado, en orden de importancia, por la rigidez de salarios, la rigidez de los precios domésticos, los costos de ajuste a la inversión y la rigidez de precios de importados. Con respecto a la dinámica de corto plazo del modelo, la sensibilidad ante un choque de política monetaria depende en mayor medida de las rigideces de salarios, del tipo de indexación de precios y salarios y de los costos de ajuste de la inversión.

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Paper provided by BANCO DE LA REPÚBLICA in its series BORRADORES DE ECONOMIA with number 006857.

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Length: 27
Date of creation: 15 Mar 2010
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Handle: RePEc:col:000094:006857
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  1. Juan Manuel Julio & Héctor Manuel Zárate, 2008. "The Price Setting Behavior in Colombia:Evidence from PPI Micro Data," BORRADORES DE ECONOMIA 004511, BANCO DE LA REPÚBLICA.
  2. Christopher J. Erceg & Dale W. Henderson & Andrew T. Levin, 1999. "Optimal monetary policy with staggered wage and price contracts," International Finance Discussion Papers 640, Board of Governors of the Federal Reserve System (U.S.).
  3. Maćkowiak, Bartosz & Smets, Frank, 2008. "On implications of micro price data for macro models," Working Paper Series 0960, European Central Bank.
  4. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, 09.
  5. Stephanie Schmitt-Grohe & Martin Uribe, 2001. "Closing Small Open Economy Models," Departmental Working Papers 200115, Rutgers University, Department of Economics.
  6. Andrés González & Lavan Mahadeva & Juan D. Prada & Diego Rodríguez, . "Policy Analysis Tool Applied to Colombian Needs: PATACON Model Description," Borradores de Economia 656, Banco de la Republica de Colombia.
  7. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Proceedings, Federal Reserve Bank of San Francisco, issue Jun.
  8. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
  9. Fuhrer, Jeffrey C., 2010. "Inflation Persistence," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 9, pages 423-486 Elsevier.
  10. Michal Andrle & Tibor Hledik & Ondra Kamenik & Jan Vlcek, 2009. "Implementing the New Structural Model of the Czech National Bank," Working Papers 2009/2, Czech National Bank, Research Department.
  11. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2005. "Bayesian Estimation of an Open Economy DSGE Model with Incomplete Pass-Through," Working Paper Series 179, Sveriges Riksbank (Central Bank of Sweden).
  12. Juan Manuel Julio & Héctor Manuel Zárate & Manuel Dario Hernández, 2010. "The Stickiness of Colombian Consumer Prices," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE.
  13. Andrle, Michal, 2008. "The Role of Trends and Detrending in DSGE Models," MPRA Paper 13289, University Library of Munich, Germany.
  14. Devereux, Michael B. & Yetman, James, 2002. "Menu costs and the long-run output-inflation trade-off," Economics Letters, Elsevier, vol. 76(1), pages 95-100, June.
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