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What do `residuals' from first-order conditions reveal about DGE models?

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  • Johri, Alok
  • Letendre, Marc-Andre

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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  • Johri, Alok & Letendre, Marc-Andre, 2007. "What do `residuals' from first-order conditions reveal about DGE models?," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2744-2773, August.
  • Handle: RePEc:eee:dyncon:v:31:y:2007:i:8:p:2744-2773
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    1. repec:red:issued:10-111 is not listed on IDEAS
    2. 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.
    3. Johri, Alok & Letendre, Marc-André & Luo, Daqing, 2011. "Organizational capital and the international co-movement of investment," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 511-523.
    4. Clarke, Andrew J. & Johri, Alok, 2009. "Procyclical Solow Residuals Without Technology Shocks," Macroeconomic Dynamics, Cambridge University Press, vol. 13(03), pages 366-389, June.
    5. 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.
    6. Lavan Mahadeva & Juan Carlos parra, 2008. "Testing a DSGE model and its partner database," BORRADORES DE ECONOMIA 004507, BANCO DE LA REPÚBLICA.
    7. Alok Johri & Muhebullah Karimzada, 2015. "Learning Efficiency Shocks, Knowledge Capital and the Business Cycle : A Bayesian Evaluation," Department of Economics Working Papers 2015-11, McMaster University.
    8. Keqiang Hou & Alok Johri, 2018. "Intangible Capital, the Labor Wedge and the Volatility of Corporate Profits," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 216-234, July.
    9. Keqiang Hou & Alok Johri, 2009. "Intangible Capital, Corporate Earnings and the Business Cycle," Department of Economics Working Papers 2009-17, McMaster University.
    10. Keqiang Hou & Alok Johri, 2018. "Intangible Capital, the Labor Wedge and the Volatility of Corporate Profits," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 216-234, July.
    11. Christopher Gunn & Alok Johri, 2011. "News and knowledge capital," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 92-101, January.
    12. Kegiang Hou & Alok Johri, 2013. "Intangible Capital and the Excess Volatility of Aggregate Profits," Department of Economics Working Papers 2013-04, McMaster University.
    13. 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.
    14. Alok Johri, 2005. "Learning-by-doing and Endogenous Price-level Inertia," Department of Economics Working Papers 2005-02, McMaster University.

    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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