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A Model of Rule-of-Thumb Consumers With Nominal Price and Wage Rigidities

  • Sergio Ocampo Díaz


This document presents a dynamic stochastic general equilibrium model with rule of thumb (Non-Ricardian) agents and both nominal price and wage rigidities. The model follows closely that of Galí et al. (2004) and expands it to include a second way form of heterogeneity (besides the Non-Ricardian agents), namely the nominal wage stickiness á la Calvo, as in Erceg et al. (2000). Special attention is given to the algebraic details of the model. The model is calibrated and its dynamics are explored trough the analysis of impulse response functions.

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Paper provided by UNIVERSIDAD JAVERIANA - BOGOTÁ in its series VNIVERSITAS ECONÓMICA with number 010025.

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Length: 28
Date of creation: 26 Apr 2012
Date of revision:
Handle: RePEc:col:000416:010025
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  1. Galí, Jordi, 2010. "Monetary Policy and Unemployment," CEPR Discussion Papers 7771, C.E.P.R. Discussion Papers.
  2. Colciago, Andrea, 2005. "Rule of Thumb Consumers Meet Sticky Wages," MPRA Paper 3275, University Library of Munich, Germany, revised 27 Apr 2007.
  3. Jordi Galí & Pau Rabanal, 2005. "Technology Shocks and Aggregate Fluctuations: How Well Does the Real Business Cycle Model Fit Postwar U.S. Data?," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 225-318 National Bureau of Economic Research, Inc.
  4. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
  5. 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.).
  6. Gali, J., 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," Working Papers 96-28, C.V. Starr Center for Applied Economics, New York University.
  7. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
  8. Blanchard, Olivier Jean & Kahn, Charles M, 1980. "The Solution of Linear Difference Models under Rational Expectations," Econometrica, Econometric Society, vol. 48(5), pages 1305-11, July.
  9. Andrés González & Sergio Ocampo & Diego Rodríguez & Norberto Rodríguez, 2012. "Asimetrías del empleo y el producto, una aproximación de equilibrio general," Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 30(68), pages 218-272, Junio.
  10. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
  11. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  12. Michael Woodford, 2001. "The Taylor Rule and Optimal Monetary Policy," American Economic Review, American Economic Association, vol. 91(2), pages 232-237, May.
  13. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
  14. Klein, Paul, 2000. "Using the generalized Schur form to solve a multivariate linear rational expectations model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1405-1423, September.
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