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Monetary policy shocks: We got news!

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  • Gomes, Sandra
  • Iskrev, Nikolay
  • Mendicino, Caterina

Abstract

We assess the role of monetary policy news shocks in the context of a medium scale DSGE model estimated on US data. We estimate several versions of the model and find decisive evidence in favour of the inclusion of monetary policy news shocks over a two-quarter horizon. According to our results, monetary policy news shocks account for a non-negligible fraction of the variance of real variables, especially at shorter forecast horizons. Further, we document that the importance of monetary policy news shocks goes beyond what was observed in recent years. The historical importance of monetary policy news shocks dates back to the 1999–2006 period when the official FOMC statements provided information about both the current policy setting and the expected future policy path. We also show that adding monetary policy news shocks to the model does not lead to identification problems.

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  • Gomes, Sandra & Iskrev, Nikolay & Mendicino, Caterina, 2017. "Monetary policy shocks: We got news!," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 108-128.
    • Handle: RePEc:eee:dyncon:v:74:y:2017:i:c:p:108-128
    DOI: 10.1016/j.jedc.2016.10.010
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    1. William T. Gavin & Benjamin D. Keen & Alexander W. Richter & Nathaniel A. Throckmorton, 2013. "The stimulative effect of forward guidance," Working Papers 2013-38, Federal Reserve Bank of St. Louis.
    2. Sandra Gomes, 2011. "Housing Market Dynamics: Any News?," Working Papers w201121, Banco de Portugal, Economics and Research Department.
    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. Tan, Zhengxun & Tang, Qianqian & Meng, Juan, 2022. "The effect of monetary policy on China’s housing prices before and after 2017: A dynamic analysis in DSGE model," Land Use Policy, Elsevier, vol. 113(C).
    5. Benjamin D. Keen & Alexander W. Richter & Nathaniel A. Throckmorton, 2017. "Forward Guidance And The State Of The Economy," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1593-1624, October.
    6. Wang, Hao & Li, Ruimin & Wang, Xiaokun (Cara) & Shang, Pan, 2020. "Effect of on-street parking pricing policies on parking characteristics: A case study of Nanning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 65-78.
    7. D’Amico, Stefania & King, Thomas B., 2023. "What does anticipated monetary policy do?," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 123-139.
    8. Sugaipov, Deni, 2022. "Estimating the impact of terms of trade news shocks on the Russian economy," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 39-67.
    9. Ashima Goyal & Abhishek Kumar, 2022. "News, noise, and Indian business cycle," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 503-538, April.
    10. Kenichi Tamegawa, 2014. "A closed-form analysis of anticipated monetary policy," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 15(2), pages 155-161.
    11. Vicondoa, Alejandro, 2019. "Monetary news in the United States and business cycles in emerging economies," Journal of International Economics, Elsevier, vol. 117(C), pages 79-90.
    12. Wongi Kim & Kyunghun Kim, 2022. "Effect of news and noise shocks of US monetary policy on economic fluctuations in emerging market economies," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(4), pages 1862-1893, November.
    13. Vicondoa, Alejandro, 2016. "Monetary News, U.S. Interest Rate and Business Cycles in Emerging Economies," Economics Working Papers ECO2016/10, European University Institute.

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    More about this item

    Keywords

    DSGE models; Bayesian estimation; News shocks; Local identification; Business cycles; Forward guidance;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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