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Estimating the Effect of Monetary Policy with Dissenting Votes as Instrument

Author

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Riboni, Alessandro & Ruge-Murcia, Francisco, 2014. "Dissent in monetary policy decisions," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 137-154.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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.
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    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

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