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What do “residuals” from first-order conditions reveal about DGE models?

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  • Alok Johri and Marc-André Letendre

Abstract

The first-order condition (FOC) associated with labour in many dynamic general equilibrium models involves only current period variables. Residuals constructed from this FOC are inconsistent with aggregate US data in that they are very large and highly persistent. The persistence suggests that models which introduce dynamic terms in the labour FOC may be more consistent with the data. Three such models (one with learning by doing, one with habit formation, and one with labour adjustment costs) confirm that they can reduce the persistence in the residuals making the models more consistent with the joint dynamics of consumption, output and hours.

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Bibliographic Info

Paper provided by McMaster University in its series Department of Economics Working Papers with number 2006-01.

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Length: 46 pages
Date of creation: Sep 2006
Date of revision:
Handle: RePEc:mcm:deptwp:2006-01

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Keywords: dynamic general equilibrium models; real business cycles; first-order conditions.;

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Citations

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Cited by:
  1. Clarke, Andrew J. & Johri, Alok, 2009. "Procyclical Solow Residuals Without Technology Shocks," Macroeconomic Dynamics, Cambridge University Press, vol. 13(03), pages 366-389, June.
  2. Hafedh Bouakez & Takashi Kano, 2006. "Learning-by-Doing or Habit Formation?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(3), pages 508-524, July.
  3. Alok Johri & Marc-Andre Letendre & Daqing Luo, 2010. "Organizational Capital and the International Co-movement of Investment," Department of Economics Working Papers 2010-05, McMaster University.
  4. Christopher M. Gunn & Alok Johri, 2009. "News and knowledge capital," Department of Economics Working Papers 2009-02, McMaster University.
  5. Lavan Mahadeva & Juan Carlos parra, 2008. "Testing a DSGE model and its partner database," BORRADORES DE ECONOMIA 004507, BANCO DE LA REPÚBLICA.
  6. Alok Johri, 2009. "Delivering Endogenous Inertia in Prices and Output," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(4), pages 736-754, October.
  7. Alok Johri, 2005. "Learning-by-doing and Endogenous Price-level Inertia," Department of Economics Working Papers 2005-02, McMaster University.
  8. Clarke, Andrew J., 2006. "Learning-by-doing and aggregate fluctuations: Does the form of the accumulation technology matter?," Economics Letters, Elsevier, vol. 92(3), pages 434-439, September.
  9. Keqiang Hou & Alok Johri, 2009. "Intangible Capital, Corporate Earnings and the Business Cycle," Department of Economics Working Papers 2009-17, McMaster University.
  10. Kegiang Hou & Alok Johri, 2013. "Intangible Capital and the Excess Volatility of Aggregate Profits," Department of Economics Working Papers 2013-04, McMaster University.

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