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Monetary Factors in the Long-Run Co-movement of Consumer and Commodity Prices

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  • Michael S. Hanson

    (Economics Department, Wesleyan University)

Abstract

This paper estimates a structural VAR model of U.S. consumer and world commodity prices. An equiproportional long-run response of nominal price levels to amonetary shock yields identifying restrictions. Exogenous innovations to monetary policy account for a sizable share of the co-movement of these series, including during episodes more commonly attributed to “supply shocks.”

Suggested Citation

  • Michael S. Hanson, 2004. "Monetary Factors in the Long-Run Co-movement of Consumer and Commodity Prices," Wesleyan Economics Working Papers 2004-001, Wesleyan University, Department of Economics.
  • Handle: RePEc:wes:weswpa:2004-001
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    File URL: http://repec.wesleyan.edu/pdf/mshanson/2004001_hanson.pdf
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    References listed on IDEAS

    as
    1. Angus Deaton & Guy Laroque, 1992. "On the Behaviour of Commodity Prices," Review of Economic Studies, Oxford University Press, vol. 59(1), pages 1-23.
    2. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, Oxford University Press, vol. 115(1), pages 147-180.
    3. Frederick T. Furlong & Robert Ingenito, 1996. "Commodity prices and inflation," Economic Review, Federal Reserve Bank of San Francisco, pages 27-47.
    4. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
    5. Rogers, John H., 1999. "Monetary shocks and real exchange rates," Journal of International Economics, Elsevier, vol. 49(2), pages 269-288, December.
    6. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
    7. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    8. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1, May.
    9. Robert B. Barsky & Lutz Kilian, 2002. "Do We Really Know that Oil Caused the Great Stagflation? A Monetary Alternative," NBER Chapters, in: NBER Macroeconomics Annual 2001, Volume 16, pages 137-198, National Bureau of Economic Research, Inc.
    10. Faust, Jon & Leeper, Eric M, 1997. "When Do Long-Run Identifying Restrictions Give Reliable Results?," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 345-353, July.
    11. James M. Boughton & William H. Branson, 1988. "Commodity Prices as a Leading Indicator of Inflation," NBER Working Papers 2750, National Bureau of Economic Research, Inc.
    12. Matthew Shapiro & Mark Watson, 1988. "Sources of Business Cycles Fluctuations," NBER Chapters, in: NBER Macroeconomics Annual 1988, Volume 3, pages 111-156, National Bureau of Economic Research, Inc.
    13. Mussa, Michael, 1982. "A Model of Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 90(1), pages 74-104, February.
    14. Hanson, Michael S., 2004. "The "price puzzle" reconsidered," Journal of Monetary Economics, Elsevier, vol. 51(7), pages 1385-1413, October.
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    More about this item

    Keywords

    Commodity price determination; vector autoregression; long-run restrictions; co-integration; monetary shocks;
    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
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E49 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Other

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