IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_8035.html
   My bibliography  Save this paper

The Chair of the U.S. Federal Reserve and the Macroeconomic Causality Regimes

Author

Listed:
  • Yunus Aksoy
  • Rubens Morita
  • Zacharias Psaradakis

Abstract

We investigate regime-dependent Granger causality between real output, inflation and monetary indicators and map with U.S. Fed Chairperson’s tenure since 1965. While all monetary indicators have causal predictive content in certain time periods, we report that the Federal Funds rate (FFR) and Domestic Money (DM) are substitutes in their role as lead or feedback variables to explain variations in real output and inflation. We provide a comprehensive account of evolution of causal relationships associated with all US Fed Chairpersons we consider.

Suggested Citation

  • Yunus Aksoy & Rubens Morita & Zacharias Psaradakis, 2019. "The Chair of the U.S. Federal Reserve and the Macroeconomic Causality Regimes," CESifo Working Paper Series 8035, CESifo.
  • Handle: RePEc:ces:ceswps:_8035
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp8035.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 61-82, Suppl. De.
    2. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    3. Morten O. Ravn & Zacharias Psaradakis & Martin Sola, 2005. "Markov switching causality and the money-output relationship," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 665-683.
    4. Matthieu Droumaguet & Anders Warne & Tomasz Woźniak, 2017. "Granger Causality and Regime Inference in Markov Switching VAR Models with Bayesian Methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 802-818, June.
    5. Troy Davig & Taeyoung Doh, 2014. "Monetary Policy Regime Shifts and Inflation Persistence," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 862-875, December.
    6. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    7. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    8. Kocherlakota, Narayana, 2019. "The future of the zero lower bound problem," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 228-231.
    9. James H. Stock & Mark W. Watson, 2010. "Modeling inflation after the crisis," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 173-220.
    10. Michael T. Belongia & Peter N. Ireland, 2015. "Interest Rates and Money in the Measurement of Monetary Policy," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 255-269, April.
    11. Allan H. Meltzer, 2014. "Current Lessons from the Past: How the Fed Repeats Its History," Cato Journal, Cato Journal, Cato Institute, vol. 34(3), pages 519-539, Fall.
    12. Michael T. Belongia & Peter N. Ireland, 2016. "Money and Output: Friedman and Schwartz Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(6), pages 1223-1266, September.
    13. William A. Barnett, 2000. "Economic Monetary Aggregates: An Application of Index Number and Aggregation Theory," Contributions to Economic Analysis, in: The Theory of Monetary Aggregation, pages 11-48, Emerald Group Publishing Limited.
    14. Christopher A. Sims & Tao Zha, 2006. "Were There Regime Switches in U.S. Monetary Policy?," American Economic Review, American Economic Association, vol. 96(1), pages 54-81, March.
    15. Warne, Anders, 2000. "Causality and Regime Inference in a Markov Switching VAR," Working Paper Series 118, Sveriges Riksbank (Central Bank of Sweden).
    16. G. Elliott & C. Granger & A. Timmermann (ed.), 2013. "Handbook of Economic Forecasting," Handbook of Economic Forecasting, Elsevier, edition 1, volume 2, number 2.
    17. Neftci, Salih N, 1984. "Are Economic Time Series Asymmetric over the Business Cycle?," Journal of Political Economy, University of Chicago Press, vol. 92(2), pages 307-328, April.
    18. Milton Friedman & Anna J. Schwartz, 1963. "A Monetary History of the United States, 1867–1960," NBER Books, National Bureau of Economic Research, Inc, number frie63-1, July.
    19. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    20. Aksoy, Yunus & Piskorski, Tomasz, 2005. "US domestic currency in forecast error variance decompositions of inflation and output," Economics Letters, Elsevier, vol. 86(2), pages 265-271, February.
    21. Cross,Rod Preface by-Name:Blanchard,Olivier (ed.), 1995. "The Natural Rate of Unemployment," Cambridge Books, Cambridge University Press, number 9780521483308, November.
    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. Michael T. Belongia & Peter N. Ireland, 2021. "A Classical View of the Business Cycle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(2-3), pages 333-366, March.
    2. Francesco Bianchi & Cosmin Ilut, 2017. "Monetary/Fiscal Policy Mix and Agent's Beliefs," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 113-139, October.
    3. John W. Keating & Logan J. Kelly & A. Lee Smith & Victor J. Valcarcel, 2019. "A Model of Monetary Policy Shocks for Financial Crises and Normal Conditions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(1), pages 227-259, February.
    4. Libo Xu & Apostolos Serletis, 2022. "The Demand for Assets: Evidence from the Markov Switching Normalized Quadratic Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(4), pages 989-1025, June.
    5. Santoro, Emiliano & Petrella, Ivan & Pfajfar, Damjan & Gaffeo, Edoardo, 2014. "Loss aversion and the asymmetric transmission of monetary policy," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 19-36.
    6. Barthélemy, Jean & Marx, Magali, 2017. "Solving endogenous regime switching models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 1-25.
    7. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    8. Francesco Bianchi & Leonardo Melosi, 2017. "Escaping the Great Recession," American Economic Review, American Economic Association, vol. 107(4), pages 1030-1058, April.
    9. Andrew Foerster & Juan F. Rubio‐Ramírez & Daniel F. Waggoner & Tao Zha, 2016. "Perturbation methods for Markov‐switching dynamic stochastic general equilibrium models," Quantitative Economics, Econometric Society, vol. 7(2), pages 637-669, July.
    10. Yong Song & Tomasz Wo'zniak, 2020. "Markov Switching," Papers 2002.03598, arXiv.org.
    11. Jean Barthélemy & Magali Marx, 2011. "State-Dependent Probability Distributions in Non Linear Rational Expectations Models," Sciences Po publications 347, Sciences Po.
    12. repec:hal:spmain:info:hdl:2441/7l23tbn4rd9539sljmp8of2hcb is not listed on IDEAS
    13. Kostas Mavromatis, 2018. "U.S. Monetary Regimes and Optimal Monetary Policy in the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1441-1478, October.
    14. Bianchi, Francesco, 2016. "Methods for measuring expectations and uncertainty in Markov-switching models," Journal of Econometrics, Elsevier, vol. 190(1), pages 79-99.
    15. Serletis, Apostolos & Xu, Libo, 2020. "Functional monetary aggregates, monetary policy, and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    16. Jean Barthélemy & Magali Marx, 2016. "Solving Endogenous Regime Switching Models," SciencePo Working papers hal-03393181, HAL.
    17. Kostas Mavromatis, 2018. "U.S. Monetary Regimes and Optimal Monetary Policy in the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1441-1478, October.
    18. Shayan Zakipour-Saber, 2019. "Monetary policy regimes and inflation persistence in the United Kingdom," Working Papers 895, Queen Mary University of London, School of Economics and Finance.
    19. Spyros Andreopoulos, 2006. "The real interest rate, the real oil price, and US unemployment revisited," Bristol Economics Discussion Papers 06/592, School of Economics, University of Bristol, UK.
    20. repec:hal:spmain:info:hdl:2441/644vfdaim38frrvbit4u0bh0ha is not listed on IDEAS
    21. Francesco Bianchi & Leonardo Melosi, 2014. "Dormant Shocks and Fiscal Virtue," NBER Macroeconomics Annual, University of Chicago Press, vol. 28(1), pages 1-46.
    22. Manuel Gonzalez‐Astudillo, 2018. "Identifying the Stance of Monetary Policy at the Zero Lower Bound: A Markov‐Switching Estimation Exploiting Monetary‐Fiscal Policy Interdependence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 115-154, February.

    More about this item

    Keywords

    causality regimes; domestic money; Federal Reserve Chairperson; Markov switching; policy instrument; vector autoregression;
    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
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:ces:ceswps:_8035. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.