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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 Banco de la Republica de Colombia in its series Borradores de Economia with number 707.

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Length: 25
Date of creation: May 2012
Date of revision:
Handle: RePEc:bdr:borrec:707
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  1. 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 REPÚBLICA - ESPE.
  2. Susanto Basu & John Fernald & Miles Kimball, 1998. "Are technology improvements contractionary?," International Finance Discussion Papers 625, Board of Governors of the Federal Reserve System (U.S.).
  3. Smets, Frank & Wouters, Raf, 2007. "Shocks and frictions in US business cycles: a Bayesian DSGE approach," Working Paper Series 0722, European Central Bank.
  4. Erceg, Christopher J. & Henderson, Dale W. & Levin, Andrew T., 2000. "Optimal monetary policy with staggered wage and price contracts," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 281-313, October.
  5. Colciago, Andrea, 2005. "Rule of Thumb Consumers Meet Sticky Wages," MPRA Paper 3275, University Library of Munich, Germany, revised 27 Apr 2007.
  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. 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.
  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. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  10. Galí, Jordi, 2010. "Monetary Policy and Unemployment," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 10, pages 487-546 Elsevier.
  11. 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.
  12. 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.
  13. 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.
  14. Michael Woodford, 2001. "The Taylor Rule and Optimal Monetary Policy," American Economic Review, American Economic Association, vol. 91(2), pages 232-237, May.
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