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The Chicago Fed DSGE model

Author

Listed:
  • Scott Brave
  • Jeffrey R. Campbell
  • Jonas D. M. Fisher
  • Alejandro Justiniano

Abstract

The Chicago Fed dynamic stochastic general equilibrium (DSGE) model is used for policy analysis and forecasting at the Federal Reserve Bank of Chicago. This article describes its specification and estimation, its dynamic characteristics and how it is used to forecast the US economy. In many respects the model resembles other medium scale New Keynesian frameworks, but there are several features which distinguish it: the monetary policy rule includes forward guidance, productivity is driven by neutral and investment specific technical change, multiple price indices identify inflation and there is a financial accelerator mechanism.

Suggested Citation

  • Scott Brave & Jeffrey R. Campbell & Jonas D. M. Fisher & Alejandro Justiniano, 2012. "The Chicago Fed DSGE model," Working Paper Series WP-2012-02, Federal Reserve Bank of Chicago.
  • Handle: RePEc:fip:fedhwp:wp-2012-02
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    File URL: http://chicagofed.org/digital_assets/publications/working_papers/2012/wp2012_02.pdf
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    References listed on IDEAS

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    1. Andrea Tambalotti & Andrea Ferrero & Vasco Curdia, 2010. "Evaluating Interest Rate Rules in an Estimated DSGE Model," 2010 Meeting Papers 402, Society for Economic Dynamics.
    2. Alejandro Justiniano & Giorgio Primiceri & Andrea Tambalotti, 2011. "Investment Shocks and the Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 101-121, January.
    3. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-417, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Arias, Jonas E. & Erceg, Christopher & Trabandt, Mathias, 2016. "The macroeconomic risks of undesirably low inflation," European Economic Review, Elsevier, vol. 88(C), pages 88-107.
    2. Giorgio Motta & Patrizio Tirelli, 2013. "Limited Asset Market Participation, Income Inequality and Macroeconomic Volatility," Working Papers 261, University of Milano-Bicocca, Department of Economics, revised Dec 2013.
    3. Nadav Ben Zeev & Christopher M. Gunn & Hashmat Khan, 2015. "Monetary News Shocks," Carleton Economic Papers 15-02, Carleton University, Department of Economics, revised 17 Feb 2017.
    4. Mitsuru Katagiri, 2016. "Forward Guidance as a Monetary Policy Rule," Bank of Japan Working Paper Series 16-E-6, Bank of Japan.
    5. Jeffrey R. Campbell & Charles L. Evans & Jonas D.M. Fisher & Alejandro Justiniano, 2012. "Macroeconomic Effects of Federal Reserve Forward Guidance," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(1 (Spring), pages 1-80.
    6. Hess Chung & Edward Herbst & Michael T. Kiley, 2015. "Effective Monetary Policy Strategies in New Keynesian Models: A Reexamination," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 289-344.

    More about this item

    Keywords

    Keynesian economics ; Forecasting ; Stochastic analysis;

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