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A New Keynesian Model with Endogenous Frictions

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  • Giese, Guido
  • Wagner, Helmut

Abstract

We develop a New Keynesian model that incorporates rigidities in the ability of households and firms to adjust their utility-efficient / profit-efficient resource allocation in response to shocks. These rigidities reflect the fact that households and firms enter into commitments for several periods of time regarding the allocation of resources limiting their ability to flexibly respond to unforeseen shocks. We show that these rigidities can adversely impact the productivity of firms and households' utility and result in the appearance of higher statistical moments in the demand and supply curves which are not exogenously constant but system-endogenous. As a result, we will derive the appearance of an inflation bias which exists even in the case of an efficient natural output and which cannot be removed by a rule-based monetary policy. Further, we show that monetary policy faces an additional trade-off in managing the friction losses due to inflation uncertainty and output uncertainty.

Suggested Citation

  • Giese, Guido & Wagner, Helmut, 2009. "A New Keynesian Model with Endogenous Frictions," Discussion Paper Series a520, Institute of Economic Research, Hitotsubashi University.
  • Handle: RePEc:hit:hituec:a520
    Note: April 2009
    as

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    File URL: https://hermes-ir.lib.hit-u.ac.jp/hermes/ir/re/17495/DP520.pdf
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    References listed on IDEAS

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    1. Lars Peter Hansen & Thomas J Sargent, 2014. "Robust Control and Model Uncertainty," World Scientific Book Chapters, in: UNCERTAINTY WITHIN ECONOMIC MODELS, chapter 5, pages 145-154, World Scientific Publishing Co. Pte. Ltd..
    2. Jordi Galí & Mark Gertler & J. David López-Salido, 2007. "Markups, Gaps, and the Welfare Costs of Business Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 44-59, November.
    3. Swanson, Eric T., 2004. "Signal Extraction And Non-Certainty-Equivalence In Optimal Monetary Policy Rules," Macroeconomic Dynamics, Cambridge University Press, vol. 8(1), pages 27-50, February.
    4. Marvin Goodfriend, 2004. "Monetary policy in the new neoclassical synthesis : a primer," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 90(Sum), pages 21-45.
    5. Carl E. Walsh, 2003. "Monetary Theory and Policy, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232316, April.
    6. Richard Dennis, 2007. "Model uncertainty and monetary policy," Working Paper Series 2007-09, Federal Reserve Bank of San Francisco.
    7. Svensson, Lars E. O. & Williams, Noah, 2006. "Bayesian and adaptive optimal policy under model uncertainty," CFS Working Paper Series 2007/11, Center for Financial Studies (CFS).
    8. repec:bla:intfin:v:5:y:2002:i:2:p:165-91 is not listed on IDEAS
    9. McCallum, Bennett T & Nelson, Edward, 1999. "An Optimizing IS-LM Specification for Monetary Policy and Business Cycle Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(3), pages 296-316, August.
    10. Michael Woodford, 2001. "The Taylor Rule and Optimal Monetary Policy," American Economic Review, American Economic Association, vol. 91(2), pages 232-237, May.
    11. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    12. 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.
    13. 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, September.
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    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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