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Strategic Interaction among Heterogeneous Price-Setters in an Estimated DSGE Model

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  • Olivier Coibion

    () (Department of Economics, College of William and Mary)

  • Yuriy Gorodnichenko

    () (Department of Economics, University of California, Berkeley)

Abstract

We consider a dynamic stochastic general equilibrium (DSGE) model in which firms follow one of four price-setting regimes: sticky prices, sticky-information, rule-of-thumb, or full-information flexible prices. The parameters of the model, including the fractions of each type of firm, are estimated by matching the moments of the observed variables of the model to those found in the data. We find that sticky-price firms and sticky-information firms jointly account for over 80% of firms in the model. We compare the performance of our hybrid model to pure sticky-price and sticky-information models along various dimensions, including monetary policy implications.

Suggested Citation

  • Olivier Coibion & Yuriy Gorodnichenko, 2010. "Strategic Interaction among Heterogeneous Price-Setters in an Estimated DSGE Model," Working Papers 93, Department of Economics, College of William and Mary.
  • Handle: RePEc:cwm:wpaper:93
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    Cited by:

    1. Carrillo, Julio A., 2012. "How well does sticky information explain the dynamics of inflation, output, and real wages?," Journal of Economic Dynamics and Control, Elsevier, vol. 36(6), pages 830-850.
    2. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    3. Andrade, Philippe & Le Bihan, Hervé, 2013. "Inattentive professional forecasters," Journal of Monetary Economics, Elsevier, vol. 60(8), pages 967-982.
    4. Saten Kumar & Hassan Afrouzi & Olivier Coibion & Yuriy Gorodnichenko, 2015. "Inflation Targeting Does Not Anchor Inflation Expectations: Evidence from Firms in New Zealand," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(2 (Fall)), pages 151-225.
    5. Robert B. Barsky & Eric R. Sims, 2009. "News Shocks," NBER Working Papers 15312, National Bureau of Economic Research, Inc.
    6. Gorodnichenko, Yuriy & Mikusheva, Anna & Ng, Serena, 2012. "Estimators For Persistent And Possibly Nonstationary Data With Classical Properties," Econometric Theory, Cambridge University Press, vol. 28(05), pages 1003-1036, October.
    7. Givens, Gregory E., 2016. "On the gains from monetary policy commitment under deep habits," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 19-36.
    8. Robert B. Barsky & Eric R. Sims, 2012. "Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence," American Economic Review, American Economic Association, vol. 102(4), pages 1343-1377, June.
    9. Carvalho Carlos, 2006. "Heterogeneity in Price Stickiness and the Real Effects of Monetary Shocks," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(3), pages 1-58, December.
    10. Arslan, M. Murat, 2010. "Relative importance of sticky prices and sticky information in price setting," Economic Modelling, Elsevier, vol. 27(5), pages 1124-1135, September.
    11. Anna Kormilitsina & Denis Nekipelov, 2016. "Consistent Variance Of The Laplace‐Type Estimators: Application To Dsge Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57, pages 603-622, May.
    12. Trabandt, Mathias, 2003. "Sticky Information vs. Sticky Prices : A Horse Race in a DSGE Framework," SFB 373 Discussion Papers 2003,41, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    13. Olivier Coibion & Yuriy Gorodnichenko, 2011. "Strategic Interaction among Heterogeneous Price-Setters in an Estimated DSGE Model," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 920-940, August.
    14. Fabrice Collard & Harris Dellas, 2010. "Monetary Misperceptions, Output, and Inflation Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(2-3), pages 483-502, March.
    15. repec:spr:portec:v:16:y:2017:i:3:d:10.1007_s10258-017-0129-x is not listed on IDEAS
    16. Gorodnichenko, Yuriy & Ng, Serena, 2010. "Estimation of DSGE models when the data are persistent," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 325-340, April.
    17. Eijffinger, S.C.W. & Grajales Olarte, A. & Uras, R.B., 2015. "Heterogeneity in Wage Setting Behavior in a New-Keynesian Model," Discussion Paper 2015-024, Tilburg University, Center for Economic Research.
    18. Benjamin D. Keen & Evan F. Koenig, 2009. "How robust are popular models of nominal frictions?," Working Papers 0903, Federal Reserve Bank of Dallas.
    19. Orlando Gomes, 2012. "Transitional Dynamics in Sticky-Information General Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 387-407, April.

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    Keywords

    Heterogeneity; Price-setting; DSGE.;

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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