IDEAS home Printed from https://ideas.repec.org/p/cwl/cwldpp/1011.html
   My bibliography  Save this paper

Interpreting the Macroeconomic Time Series Facts: The Effects of Monetary Policy

Author

Abstract

Existing theory and evidence on the effects of monetary policy are reviewed. Substantial room for disagreement among economists remains. New evidence, based on multivariate time series studies of several countries, is presented. While certain patterns in the data consistent with effective monetary policy are strikingly similar across countries, others, particularly the tendency of interest rate increases to predict high inflation, are harder to reconcile with effective monetary policy.

Suggested Citation

  • Christopher A. Sims, 1992. "Interpreting the Macroeconomic Time Series Facts: The Effects of Monetary Policy," Cowles Foundation Discussion Papers 1011, Cowles Foundation for Research in Economics, Yale University.
  • Handle: RePEc:cwl:cwldpp:1011
    Note: CFP 823.
    as

    Download full text from publisher

    File URL: https://cowles.yale.edu/sites/default/files/files/pub/d10/d1011.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Christina D. Romer & David H. Romer, 1989. "Does Monetary Policy Matter? A New Test in the Spirit of Friedman and Schwartz," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 121-184, National Bureau of Economic Research, Inc.
    2. James Tobin, 1970. "Money and Income: Post Hoc Ergo Propter Hoc?," The Quarterly Journal of Economics, Oxford University Press, vol. 84(2), pages 301-317.
    3. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    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. Phil Bodman, "undated". "Are the Effects of Monetary Policy Asymmetric in Australia?," MRG Discussion Paper Series 0406, School of Economics, University of Queensland, Australia.
    2. Christina D. Romer & David H. Romer, 1994. "What Ends Recessions?," NBER Chapters, in: NBER Macroeconomics Annual 1994, Volume 9, pages 13-80, National Bureau of Economic Research, Inc.
    3. Michaelides, Panayotis G. & Milios, John G. & Konstantakis, Konstantinos N. & Tarnaras, Panayiotis, 2015. "Quantity-of-money fluctuations and economic instability: empirical evidence for the USA (1958–2006)," MPRA Paper 90145, University Library of Munich, Germany.
    4. Tapia, Jose, 2015. "Profits encourage investment, investment dampens profits, government spending does not prime the pump — A DAG investigation of business-cycle dynamics," MPRA Paper 64698, University Library of Munich, Germany.
    5. Don Bredin & Gerard O'Reilly, 2004. "An analysis of the transmission mechanism of monetary policy in Ireland," Applied Economics, Taylor & Francis Journals, vol. 36(1), pages 49-58.
    6. Athanasenas, Athanasios L., 2010. "Credit, income, and causality: A contemporary co-integration analysis," European Journal of Operational Research, Elsevier, vol. 201(1), pages 194-205, February.
    7. 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.
    8. Cheng Hsiao, 1977. "Money And Income, Causality Detection," NBER Working Papers 0167, National Bureau of Economic Research, Inc.
    9. Matthieu Droumaguet & Anders Warne & Tomasz Wozniak, 2015. "Granger Causality and Regime Inference in Bayesian Markov-Switching VARs," Department of Economics - Working Papers Series 1191, The University of Melbourne.
    10. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    11. Benjamin M. Friedman, 1984. "The Value of Intermediate Targets in Implementing Monetary Policy," NBER Working Papers 1487, National Bureau of Economic Research, Inc.
    12. Ashesh Rambachan & Neil Shephard, 2019. "Econometric analysis of potential outcomes time series: instruments, shocks, linearity and the causal response function," Papers 1903.01637, arXiv.org, revised Feb 2020.
    13. Mahbuba Aktar & Mohammad Zoynul Abedin & Anupam Das Gupta, 2021. "The Impact of Monetary Policy Shocks on Corporate Dynamic Investment Activity With Financial Heterogeneity," SAGE Open, , vol. 11(1), pages 21582440209, February.
    14. Christopher A. Sims, 2012. "Statistical Modeling of Monetary Policy and Its Effects," American Economic Review, American Economic Association, vol. 102(4), pages 1187-1205, June.
    15. Gamber, Edward N. & Hakes, David R., 2005. "Is monetary policy important for forecasting real growth and inflation?," Journal of Policy Modeling, Elsevier, vol. 27(2), pages 177-187, March.
    16. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    17. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
    18. Stephen J. Perez, 2002. "Monetary Policy Does Matter: Control Causality and Superexogeneity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 473-486, December.
    19. Ederington, Louis H. & Fernando, Chitru S. & Lee, Thomas K. & Linn, Scott C. & Zhang, Huiming, 2021. "The relation between petroleum product prices and crude oil prices," Energy Economics, Elsevier, vol. 94(C).
    20. Tao Zha, 1997. "Identifying monetary policy: a primer," Economic Review, Federal Reserve Bank of Atlanta, vol. 82(Q 2), pages 26-43.

    More about this item

    Keywords

    Interest rates; aggregate activity;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:cwl:cwldpp:1011. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/cowleus.html .

    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: Matthew Regan (email available below). General contact details of provider: https://edirc.repec.org/data/cowleus.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.