IDEAS home Printed from https://ideas.repec.org/p/mnb/wpaper/2021-4.html
   My bibliography  Save this paper

Estimating the Effect of Monetary Policy with Dissenting Votes as Instrument

Author

Listed:
  • Balazs Vonnak

    (Magyar Nemzeti Bank (Central Bank of Hungary))

Abstract

In this paper a new instrument for monetary policy shocks is presented. Exogenous variation of the policy rate may come from frictions of collective decision-making. Dissenting votes indicate how far the final decision of the decision making body is from the mean of the members’ individually preferred interest rates and thus correlate with the policy shocks caused by the decision-making frictions. Measures of dissent are used as external instrument in a structural VAR. Results for the U.S. show significant effect of the Fed’s interest rate policy on real variables with the expected sign. On the other hand, the estimated effect on nominal variables is reminiscent of the price puzzle. Usual remedies, such as inclusion of commodity prices, inflation expectations or starting the sample in the middle of the eighties do not change the qualitative results casting doubt on the usual interpretation that the price puzzle is a statistical artifact.

Suggested Citation

  • Balazs Vonnak, 2021. "Estimating the Effect of Monetary Policy with Dissenting Votes as Instrument," MNB Working Papers 2021/4, Magyar Nemzeti Bank (Central Bank of Hungary).
    • Handle: RePEc:mnb:wpaper:2021/4
    as

    Download full text from publisher

    File URL: https://www.mnb.hu/letoltes/mnb-wp-2021-4-final-1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marvin J. Barth III & Valerie A. Ramey, 2002. "The Cost Channel of Monetary Transmission," NBER Chapters, in: NBER Macroeconomics Annual 2001, Volume 16, pages 199-256, National Bureau of Economic Research, Inc.
    2. Riboni, Alessandro & Ruge-Murcia, Francisco, 2014. "Dissent in monetary policy decisions," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 137-154.
    3. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    4. Mark Gertler & Peter Karadi, 2015. "Monetary Policy Surprises, Credit Costs, and Economic Activity," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 44-76, January.
    5. Marek Jarociński & Peter Karadi, 2020. "Deconstructing Monetary Policy Surprises—The Role of Information Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(2), pages 1-43, April.
    6. Karel Mertens & Morten O. Ravn, 2013. "The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States," American Economic Review, American Economic Association, vol. 103(4), pages 1212-1247, June.
    7. Alessandro Riboni & Francisco J. Ruge-Murcia, 2010. "Monetary Policy by Committee: Consensus, Chairman Dominance, or Simple Majority?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 363-416.
    8. Petra Gerlach-Kristen, 2008. "The Role of the Chairman in Setting Monetary Policy: Individualistic vs. Autocratically Collegial MPCs," International Journal of Central Banking, International Journal of Central Banking, vol. 4(3), pages 119-143, September.
    9. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-2009 Recession," NBER Working Papers 18094, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. McNeil, James, 2023. "Monetary policy and the term structure of inflation expectations with information frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    2. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    3. Laséen, Stefan, 2020. "Monetary Policy Surprises, Central Bank Information Shocks, and Economic Activity in a Small Open Economy," Working Paper Series 396, Sveriges Riksbank (Central Bank of Sweden).
    4. Hiroyuki Kubota & Mototsugu Shintani, 2020. "High-frequency Identification of Unconventional Monetary Policy Shocks in Japan," CARF F-Series CARF-F-502, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    5. Felipe Beltrán, 2023. "Global monetary policy surprises and their transmission to emerging market economies: an external VAR analysis," Working Papers Central Bank of Chile 975, Central Bank of Chile.
    6. Fumitaka Nakamura & Nao Sudo & Yu Sugisaki, 2021. "Monetary Policy Shocks and the Employment of Young, Middle-Aged, and Old Workers," IMES Discussion Paper Series 21-E-06, Institute for Monetary and Economic Studies, Bank of Japan.
    7. Felipe Beltrán & David Coble, 2023. "Monetary Policy Surprises on the Banking Sector: the Role of the Information and Pure Monetary Shocks," Working Papers Central Bank of Chile 979, Central Bank of Chile.
    8. Georgiadis, Georgios & Schumann, Ben, 2021. "Dominant-currency pricing and the global output spillovers from US dollar appreciation," Journal of International Economics, Elsevier, vol. 133(C).
    9. Mirela Miescu & Haroon Mumtaz, 2019. "Proxy structural vector autoregressions, informational sufficiency and the role of monetary policy," Working Papers 280730188, Lancaster University Management School, Economics Department.
    10. Giancarlo Corsetti & Joao B Duarte & Samuel Mann, 2022. "One Money, Many Markets [Fixed Rate Versus Adjustable Rate Mortgages: Evidence from Euro Area Banks]," Journal of the European Economic Association, European Economic Association, vol. 20(1), pages 513-548.
    11. Andrejs Zlobins, 2021. "On the Time-varying Effects of the ECB's Asset Purchases," Working Papers 2021/02, Latvijas Banka.
    12. Lee, Sukjoon, 2020. "Liquidity Premium, Credit Costs, and Optimal Monetary Policy," MPRA Paper 104825, University Library of Munich, Germany.
    13. Corsetti, Giancarlo & Duarte, Joao B. & Mann, Samuel, 2020. "One Money, Many Markets: Monetary Transmission and Housing Financing in the Euro Area," CEPR Discussion Papers 14968, C.E.P.R. Discussion Papers.
    14. Aeimit Lakdawala, 2019. "Decomposing the effects of monetary policy using an external instruments SVAR," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 934-950, September.
    15. Rüth, Sebastian K., 2020. "Shifts in monetary policy and exchange rate dynamics: Is Dornbusch's overshooting hypothesis intact, after all?," Journal of International Economics, Elsevier, vol. 126(C).
    16. Mark Gertler & Peter Karadi, 2015. "Monetary Policy Surprises, Credit Costs, and Economic Activity," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 44-76, January.
    17. Andrade, Philippe & Ferroni, Filippo, 2021. "Delphic and odyssean monetary policy shocks: Evidence from the euro area," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 816-832.
    18. Andrea Gazzani & Alejandro Vicondoa, 2020. "Bridge Proxy-SVAR: estimating the macroeconomic effects of shocks identified at high-frequency," Temi di discussione (Economic working papers) 1274, Bank of Italy, Economic Research and International Relations Area.
    19. Altavilla, Carlo & Brugnolini, Luca & Gürkaynak, Refet S. & Motto, Roberto & Ragusa, Giuseppe, 2019. "Measuring euro area monetary policy," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 162-179.
    20. Daniel A. Dias & João B. Duarte, 2019. "Monetary policy, housing rents, and inflation dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 673-687, August.

    More about this item

    Keywords

    monetary policy; structural vector autoregression; instrumental variable; price puzzle.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mnb:wpaper:2021/4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lorant Kaszab (email available below). General contact details of provider: https://edirc.repec.org/data/mnbgvhu.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.