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US business cycle dynamics at the zero lower bound

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  • Böhl, Gregor
  • Strobel, Felix

Abstract

Using a nonlinear Bayesian likelihood approach that fully accounts for the zero lower bound on nominal interest rates, the authors analyze US post-crisis business cycle dynamics and provide reference parameter estimates. They find that neither the inclusion of financial frictions nor that of household heterogeneity improve the empirical fit of the standard model, or its ability to provide a joint explanation for the post-2007 dynamics. Associated financial shocks mis-predict an increase in consumption. The common practice of omitting the ZLB period in the estimation severely distorts the analysis of the more recent economic dynamics.

Suggested Citation

  • Böhl, Gregor & Strobel, Felix, 2020. "US business cycle dynamics at the zero lower bound," IMFS Working Paper Series 143, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
  • Handle: RePEc:zbw:imfswp:143
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    Cited by:

    1. Böhl, Gregor & Lieberknecht, Philipp, 2021. "The hockey stick Phillips curve and the effective lower bound," Discussion Papers 55/2021, Deutsche Bundesbank.
    2. S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 96-120, July.
    3. Böhl, Gregor & Goy, Gavin & Strobel, Felix, 2020. "A structural investigation of quantitative easing," IMFS Working Paper Series 142, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    4. Khalil, Makram & Strobel, Felix, 2023. "Capital reallocation under climate policy uncertainty," Discussion Papers 23/2023, Deutsche Bundesbank.
    5. Gregor Boehl & Philipp Lieberknecht, 2021. "The Hockey Stick Phillips Curve and the Zero Lower Bound," CRC TR 224 Discussion Paper Series crctr224_2021_266, University of Bonn and University of Mannheim, Germany.
    6. Khalil, Makram & Strobel, Felix, 2021. "US trade policy and the US dollar," Discussion Papers 49/2021, Deutsche Bundesbank.
    7. Böhl, Gregor, 2022. "Ensemble MCMC sampling for robust Bayesian inference," IMFS Working Paper Series 177, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    8. Böhl, Gregor, 2022. "Endogenous Money, Excess Reserves and Unconventional Monetary Policy," VfS Annual Conference 2022 (Basel): Big Data in Economics 264141, Verein für Socialpolitik / German Economic Association.
    9. Boehl, Gregor, 2022. "Efficient solution and computation of models with occasionally binding constraints," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    10. S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 96-120, July.

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    More about this item

    Keywords

    Zero Lower Bound; Bayesian Estimation; Great Recession; Business Cycles;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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