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Commodity Prices and Inflation Expectations in the United States

Author

Listed:
  • Oya Celasun
  • Mr. Lev Ratnovski
  • Miss Roxana Mihet

Abstract

U.S. monetary policy can remain extraordinarily accommodative only if longer-term inflation expectations stay well-anchored, including in response to commodity price shocks. We find that oil price shocks have a statistically significant, but economically small impact on longer-term inflation compensation embedded in U.S. Treasury bonds. The estimated effect is larger for the post-crisis period, and robust to controlling for measures of liquidity risk premia. Oil price shocks are also correlated with the variance of longer-term inflation expectations in the University of Michigan Survey of Consumers in the post-crisis period. These results are not attributable to looser monetary policy - oil price increases were associated with expectations of a faster monetary tightening after the crisis. Overall, the findings are consistent with some impact of commodity prices on long-term inflation expectations and/or on inflation rate risk.

Suggested Citation

  • Oya Celasun & Mr. Lev Ratnovski & Miss Roxana Mihet, 2012. "Commodity Prices and Inflation Expectations in the United States," IMF Working Papers 2012/089, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2012/089
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    References listed on IDEAS

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    1. Lutz Kilian, 2008. "The Economic Effects of Energy Price Shocks," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
    2. Olivier Armantier & Wändi Bruine de Bruin & Giorgio Topa & Wilbert van der Klaauw & Basit Zafar, 2015. "Inflation Expectations And Behavior: Do Survey Respondents Act On Their Beliefs?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 505-536, May.
    3. James D. Hamilton, 2009. "Understanding Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 179-206.
    4. Keith Sill, 2007. "The macroeconomics of oil shocks," Business Review, Federal Reserve Bank of Philadelphia, issue Q1, pages 21-31.
    5. Refet S. Gürkaynak & Brian Sack & Jonathan H. Wright, 2010. "The TIPS Yield Curve and Inflation Compensation," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 70-92, January.
    6. Mr. David A Reichsfeld & Mr. Shaun K. Roache, 2011. "Do Commodity Futures Help Forecast Spot Prices?," IMF Working Papers 2011/254, International Monetary Fund.
    7. Petra Gerlach & Peter Hördahl & Richhild Moessner, 2011. "Inflation expectations and the great recession," BIS Quarterly Review, Bank for International Settlements, March.
    8. Refet S. Gürkaynak & Brian Sack & Eric Swanson, 2005. "The Sensitivity of Long-Term Interest Rates to Economic News: Evidence and Implications for Macroeconomic Models," American Economic Review, American Economic Association, vol. 95(1), pages 425-436, March.
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    Cited by:

    1. Pedersen, Michael, 2015. "What affects the predictions of private forecasters? The role of central bank forecasts in Chile," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1043-1055.
    2. Koehler-Geib,Fritzi & Hnatkovska,Viktoria, 2015. "Business cycles accounting for Paraguay," Policy Research Working Paper Series 7284, The World Bank.
    3. Robert G Murphy & Adam Rohde, 2018. "Rational Bias in Inflation Expectations," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 44(1), pages 153-171, January.
    4. Fernandez, Viviana, 2020. "The predictive power of convenience yields," Resources Policy, Elsevier, vol. 65(C).
    5. Binder, Carola Conces, 2018. "Inflation expectations and the price at the pump," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 1-18.
    6. Orlowski, Lucjan T., 2017. "Volatility of commodity futures prices and market-implied inflation expectations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 133-141.
    7. repec:gdk:wpaper:50 is not listed on IDEAS

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