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Interest Rates and M2 in an Error-Correction Macro Model

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  • William C. Whitesell

Abstract

With annual data, real M2 is shown to have a surprisingly strong contemporaneous and leading relationship to GDP, that is robust to the inclusion of other explanatory variables. When combined and tested with parsimonious error correction equations for money demand, price determination, and a monetary policy reaction function, an overall macroeconometric model is revealed with an unusually good fit aside from a velocity shift adjustment needed for the early 1990s and better inflation performance than expected of late. A regime shift is evident in the stronger response of the Federal Reserve to inflation in the 1980s than in the previous two decades.

Suggested Citation

  • William C. Whitesell, "undated". "Interest Rates and M2 in an Error-Correction Macro Model," Finance and Economics Discussion Series 1997-59, Board of Governors of the Federal Reserve System (U.S.), revised 10 Dec 2019.
    • Handle: RePEc:fip:fedgfe:1997-59
    as

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    File URL: http://www.federalreserve.gov/pubs/feds/1997/199759/199759pap.pdf
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    References listed on IDEAS

    as
    1. Anderson, Richard G. & Hoffman, Dennis L. & Rasche, Robert H., 2002. "Reply to the comments on 'A vector error-correction forecasting model of the U.S. economy'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 613-614, December.
    2. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    3. 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.
    4. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    5. Hallman, Jeffrey J & Porter, Richard D & Small, David H, 1991. "Is the Price Level Tied to the M2 Monetary Aggregate in the Long Run?," American Economic Review, American Economic Association, vol. 81(4), pages 841-858, September.
    6. Martin Feldstein & James H. Stock, 1994. "The Use of a Monetary Aggregate to Target Nominal GDP," NBER Chapters, in: Monetary Policy, pages 7-69, National Bureau of Economic Research, Inc.
    7. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    8. Friedman, Benjamin M & Kuttner, Kenneth N, 1992. "Money, Income, Prices, and Interest Rates," American Economic Review, American Economic Association, vol. 82(3), pages 472-492, June.
    9. Estrella, Arturo & Mishkin, Frederic S., 1997. "Is there a role for monetary aggregates in the conduct of monetary policy?," Journal of Monetary Economics, Elsevier, vol. 40(2), pages 279-304, October.
    10. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    11. Benjamin M. Friedman & Kenneth N. Kuttner, 1996. "A Price Target for U.S. Monetary Policy? Lessons from the Experience with Money Growth Targets," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(1), pages 77-146.
    12. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
    13. Dennis L. Hoffman & Robert H. Rasche, 1997. "STLS/US-VECM6.1: a vector error-correction forecasting model of the U. S. economy," Working Papers 1997-008, Federal Reserve Bank of St. Louis.
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    More about this item

    Keywords

    Money; M2; macroeconometric model; p-star;
    All these keywords.

    JEL classification:

    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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