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Monetary policy shocks: We got news!

Author

Listed:
  • Nikolay Iskrev
  • Sandra Gomes
  • Caterina Mendicino
Abstract
We augment a medium-scale DSGE model with monetary policy news shocks and t it to US data. Monetary policy news shocks improve the performance of the model both in terms of marginal data density and in terms of its ability to match the empirical moments of the variables used as observables. We estimate several versions of the model and nd that the one with news shocks over a two-quarter horizon dominates in terms of overall goodness of t. We show that, in the estimated model: (1) adding monetary policy news shocks to the model does not lead to identi cation problems; (2) monetary policy news shocks account for a larger fraction of the unconditional variance of the observables than the standard unanticipated monetary policy shock; (3) these news shocks also help to achieve a better matching of the covariances of consumption growth and the interest rate.

Suggested Citation

  • Nikolay Iskrev & Sandra Gomes & Caterina Mendicino, 2013. "Monetary policy shocks: We got news!," Working Papers w201307, Banco de Portugal, Economics and Research Department.
    • Handle: RePEc:ptu:wpaper:w201307
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    Cited by:

    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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    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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