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The FRBNY DSGE model

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Abstract

The goal of this paper is to present the dynamic stochastic general equilibrium (DSGE) model developed and used at the Federal Reserve Bank of New York. The paper describes how the model works, how it is estimated, how it rationalizes past history, including the Great Recession, and how it is used for forecasting and policy analysis.

Suggested Citation

  • Matthew Cocci & Marco Del Negro & Stefano Eusepi & Marc Giannoni & Raiden B. Hasegawa & M. Henry Linder & Argia M. Sbordone & Andrea Tambalotti, 2013. "The FRBNY DSGE model," Staff Reports 647, Federal Reserve Bank of New York.
    • Handle: RePEc:fip:fednsr:647
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    References listed on IDEAS

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    1. Krishna Rao & Argia M. Sbordone & Andrea Tambalotti & Kieran Walsh, 2010. "Policy analysis using DSGE models: an introduction," Economic Policy Review, Federal Reserve Bank of New York, vol. 16(Oct), pages 23-43.
    2. Yongsung Chang & Sun-Bin Kim, 2006. "From Individual To Aggregate Labor Supply: A Quantitative Analysis Based On A Heterogeneous Agent Macroeconomy ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(1), pages 1-27, February.
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    4. 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.
    5. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    6. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, May.
    7. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
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    9. 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.
    10. Refet S Gürkaynak & Brian Sack & Eric Swanson, 2005. "Do Actions Speak Louder Than Words? The Response of Asset Prices to Monetary Policy Actions and Statements," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
    11. Sims, Christopher A, 2002. "Solving Linear Rational Expectations Models," Computational Economics, Springer;Society for Computational Economics, vol. 20(1-2), pages 1-20, October.
    12. Lawrence J. Christiano & Michele Boldrin & Jonas D. M. Fisher, 2001. "Habit Persistence, Asset Returns, and the Business Cycle," American Economic Review, American Economic Association, vol. 91(1), pages 149-166, March.
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    Cited by:

    1. Jean-Paul L'Huillier & Sanjay R. Singh & Donghoon Yoo, 2021. "Incorporating Diagnostic Expectations into the New Keynesian Framework," Working Papers 339, University of California, Davis, Department of Economics.
    2. Albonico, Alice & Paccagnini, Alessia & Tirelli, Patrizio, 2017. "Great recession, slow recovery and muted fiscal policies in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 140-161.
    3. Nadav Ben Zeev & Christopher Gunn & Hashmat Khan, 2020. "Monetary News Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(7), pages 1793-1820, October.
    4. Stephen J. Cole, 2020. "The Limits of Central Bank forward Guidance under Learning," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 199-250, September.
    5. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    6. House, Christopher L. & Proebsting, Christian & Tesar, Linda L., 2020. "Austerity in the aftermath of the great recession," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 37-63.
    7. Victor Olkhov, 2018. "Econophysics Beyond General Equilibrium: the Business Cycle Model," Papers 1804.04721, arXiv.org.
    8. Gelfer, Sacha, 2020. "Re-evaluating Okun’s Law: Why all recessions and recoveries are “different”," Economics Letters, Elsevier, vol. 196(C).
    9. Mitsuru Katagiri, 2016. "Forward Guidance as a Monetary Policy Rule," Bank of Japan Working Paper Series 16-E-6, Bank of Japan.
    10. Olkhov, Victor, 2018. "Economic Transactions Govern Business Cycles," MPRA Paper 87207, University Library of Munich, Germany.
    11. 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.
    12. Wieland, Volker & Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge, 2017. "Model Uncertainty in Macroeconomics: On the Implications of Financial Frictions," CEPR Discussion Papers 12013, C.E.P.R. Discussion Papers.
    13. repec:hal:spmain:info:hdl:2441/dcditnq6282sbu1u151qe5p7f is not listed on IDEAS
    14. Olkhov, Victor, 2018. "The Business Cycle Model Beyond General Equilibrium," MPRA Paper 87204, University Library of Munich, Germany.
    15. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    16. Nikolaos Charalampidis, 2020. "The U.S. Labor Income Share And Automation Shocks," Economic Inquiry, Western Economic Association International, vol. 58(1), pages 294-318, January.
    17. Cúrdia, Vasco & Ferrero, Andrea & Ng, Ging Cee & Tambalotti, Andrea, 2015. "Has U.S. monetary policy tracked the efficient interest rate?," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 72-83.
    18. Naohisa Hirakata & Kazutoshi Kan & Akihiro Kanafuji & Yosuke Kido & Yui Kishaba & Tomonori Murakoshi & Takeshi Shinohara, 2019. "The Quarterly Japanese Economic Model (Q-JEM): 2019 version," Bank of Japan Working Paper Series 19-E-7, Bank of Japan.
    19. Bretscher, Lorenzo & Malkhozov, Aytek & Tamoni, Andrea, 2021. "Expectations and aggregate risk," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 91-108.
    20. Sanha Noh & Ingul Baek, 2022. "What are the Driving Forces of the Economic Downturn in Korea during COVID-19? (Covid-19 Special Issue)," Korean Economic Review, Korean Economic Association, vol. 38, pages 285-322.
    21. Costa Junior, Celso J. & Garcia-Cintado, Alejandro C. & Junior, Karlo Marques, 2021. "Macroeconomic policies and the pandemic-driven recession," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 438-465.
    22. Francesco Sergi, 2020. "The Standard Narrative about DSGE Models in Central Banks’ Technical Reports," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 27(2), pages 163-193, March.

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    More about this item

    Keywords

    DSGE models;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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