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When to Ease Off the Brakes--and Hopefully Prevent Recessions

Author

Listed:
  • Harold M. Hastings
  • Tai Young-Taft
  • Thomas Wang

Abstract

Increases in the federal funds rate aimed at stabilizing the economy have inevitably been followed by recessions. Recently, peaks in the federal funds rate have occurred 6-16 months before the start of recessions; reductions in interest rates apparently occurred too late to prevent those recessions. Potential leading indicators include measures of labor productivity, labor utilization, and demand, all of which influence stock market conditions, the return to capital, and changes in the federal funds rate, among many others. We investigate the dynamics of the spread between the 10-year Treasury rate and the federal funds rate in order to better understand "when to ease off the (federal funds) brakes.""

Suggested Citation

  • Harold M. Hastings & Tai Young-Taft & Thomas Wang, 2019. "When to Ease Off the Brakes--and Hopefully Prevent Recessions," Economics Working Paper Archive wp_929, Levy Economics Institute.
  • Handle: RePEc:lev:wrkpap:wp_929
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    References listed on IDEAS

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    1. Zhang, Lan & Mykland, Per A. & Ait-Sahalia, Yacine, 2005. "A Tale of Two Time Scales: Determining Integrated Volatility With Noisy High-Frequency Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1394-1411, December.
    2. Boldrin, Michele & Woodford, Michael, 1990. "Equilibrium models displaying endogenous fluctuations and chaos : A survey," Journal of Monetary Economics, Elsevier, vol. 25(2), pages 189-222, March.
    3. Liu, Weiling & Moench, Emanuel, 2016. "What predicts US recessions?," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1138-1150.
    4. Estrella, Arturo & Hardouvelis, Gikas A, 1991. "The Term Structure as a Predictor of Real Economic Activity," Journal of Finance, American Finance Association, vol. 46(2), pages 555-576, June.
    5. E. Stockhammere & J. Michell, 2017. "Pseudo-Goodwin cycles in a Minsky model," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 41(1), pages 105-125.
    6. Harvie, David, 2000. "Testing Goodwin: Growth Cycles in Ten OECD Countries," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 24(3), pages 349-376, May.
    7. Michael D. Bauer & Thomas M. Mertens, 2018. "Information in the Yield Curve about Future Recessions," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    8. Arturo Estrella & Frederic S. Mishkin, 1996. "The yield curve as a predictor of U.S. recessions," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 2(Jun).
    9. Arturo Estrella & Mary R. Trubin, 2006. "The yield curve as a leading indicator: some practical issues," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 12(Jul).
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    More about this item

    Keywords

    Federal Funds Rate; Yield Curve; Monetary Policy; Nonlinear Dynamics; Takens' Embedding;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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