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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 Republica de Colombia in its series Borradores de Economia with number 591.

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  1. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper 0107, Federal Reserve Bank of Cleveland.
  2. 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.
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  7. Maćkowiak, Bartosz & Smets, Frank, 2008. "On implications of micro price data for macro models," Working Paper Series 0960, European Central Bank.
  8. Juan Manuel Julio & Héctor Manuel Zárate & Manuel Hernández, 2010. "The Stickiness of Colombian Consumer Prices," Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 28(63), pages 100-153, Diciembre.
  9. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
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  11. Taylor, John B., 2000. "Low inflation, pass-through, and the pricing power of firms," European Economic Review, Elsevier, vol. 44(7), pages 1389-1408, June.
  12. 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.
  13. Andrle, Michal, 2008. "The Role of Trends and Detrending in DSGE Models," MPRA Paper 13289, University Library of Munich, Germany.
  14. 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.
  15. Adolfson, Malin & Laseen, Stefan & Linde, Jesper & Villani, Mattias, 2007. "Bayesian estimation of an open economy DSGE model with incomplete pass-through," Journal of International Economics, Elsevier, vol. 72(2), pages 481-511, July.
  16. 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.
  17. 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.
  18. Andrew Levin & Christopher J. Erceg & Dale W. Henderson, 1999. "Optimal Monetary Policy with Staggered Wage and Price Contracts," Computing in Economics and Finance 1999 1151, Society for Computational Economics.
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