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A fine time for monetary policy?

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  • John Geweke
  • David E. Runkle

Abstract

Recent research in evaluating the effects of monetary policy is potentially tainted by the problem of time aggregation: that is, effects may be incorrectly estimated using quarterly data if the effects of policy occur rapidly. This study evaluates whether time aggregation is a serious problem in a simple vector autoregression. It shows time aggregation has little impact on evaluating the effect of monetary policy in a simple vector autoregression including total reserves, nonborrowed reserves, and the federal funds rate. This finding suggests that time aggregation is unlikely to be important in evaluating the effects of monetary policy in models including a goal variable, such as GDP growth.

Suggested Citation

  • John Geweke & David E. Runkle, 1995. "A fine time for monetary policy?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 19(Win), pages 18-31.
    • Handle: RePEc:fip:fedmqr:y:1995:i:win:p:18-31:n:v.19no.1
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    References listed on IDEAS

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    6. Steven Strongin, 1992. "The identification of monetary policy disturbances: explaining the liquidity puzzle," Working Paper Series, Macroeconomic Issues 92-27, Federal Reserve Bank of Chicago.
    7. Runkle, David E, 1987. "Vector Autoregressions and Reality: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 454-454, October.
    8. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    9. Eric M. Leeper & Christopher A. Sims, 1994. "Toward a Modern Macroeconomic Model Usable for Policy Analysis," NBER Chapters, in: NBER Macroeconomics Annual 1994, Volume 9, pages 81-140, National Bureau of Economic Research, Inc.
    10. Hoover, Kevin D. & Perez, Stephen J., 1994. "Money may matter, but how could you know?," Journal of Monetary Economics, Elsevier, vol. 34(1), pages 89-99, August.
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    12. Wilbur John Coleman & Christian Gilles & Pamela Labadie, 1993. "Identifying monetary policy with a model of the federal funds rate," Finance and Economics Discussion Series 93-24, Board of Governors of the Federal Reserve System (U.S.).
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    Cited by:

    1. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    2. Berument, Hakan, 2007. "Measuring monetary policy for a small open economy: Turkey," Journal of Macroeconomics, Elsevier, vol. 29(2), pages 411-430, June.
    3. Redward, Peter & Saarenheimo, Tuomas, 1996. "From policy rate to market rates: An empirical analysis of Finnish monetary transmission," Bank of Finland Research Discussion Papers 22/1996, Bank of Finland.
    4. repec:zbw:bofrdp:1996_022 is not listed on IDEAS
    5. M. Berument & Selahattin Togay & Afsin Sahin, 2011. "Identifying the Liquidity Effects of Monetary Policy Shocks for a Small Open Economy: Turkey," Open Economies Review, Springer, vol. 22(4), pages 649-667, September.
    6. Redward, Peter & Saarenheimo, Tuomas, 1996. "From policy rate to market rates : An empirical analysis of finnish monetary transmission," Research Discussion Papers 22/1996, Bank of Finland.
    7. Choi, Jae-Young & Ratti, Ronald A., 2000. "The Predictive Power of Alternative Indicators of Monetary Policy," Journal of Macroeconomics, Elsevier, vol. 22(4), pages 581-610, October.

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    Monetary policy;

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