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High-Frequency Estimates of the Natural Real Rate and Inflation Expectations

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Abstract

We propose a new method of estimating the natural real rate and long-horizon inflation expectations, using nonlinear regressions of survey-based measures of short-term nominal interest rates and inflation expectations on U.S. Treasury yields. We find that the natural real rate was relatively stable during the 1990s and early 2000s, but declined steadily after the global financial crisis, before dropping more sharply to around 0 percent during the recent COVID-19 pandemic. Long-horizon inflation expectations declined steadily during the 1990s and have since been relatively stable at close to 2 percent. According to our method, the declines in both the natural real rate and long-horizon inflation expectations are clearly statistically significant. Our estimates are available at whatever frequency we observe bond yields, making them ideal for intraday event-study analysis--for example, we show that the natural real rate and long-horizon inflation expectations are not affected by temporary shocks to the stance of monetary policy.

Suggested Citation

  • Alex Aronovich & Andrew C. Meldrum, 2021. "High-Frequency Estimates of the Natural Real Rate and Inflation Expectations," Finance and Economics Discussion Series 2021-034, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgfe:2021-34
    DOI: 10.17016/FEDS.2021.034
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    References listed on IDEAS

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    More about this item

    Keywords

    Natural real rate; term structure models; Nonlinear regression;
    All these keywords.

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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