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The Decline in German Output Volatility: A Bayesian Analysis

Author

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  • Liesenfeld, Roman
  • Hogrefe, Jens
  • Aßmann, Christian
Abstract
Empirical evidence suggests a sharp volatility decline of the growth in U.S. gross domestic product (GDP) in the mid-1980s. Using Bayesian methods, we analyze whether a volatility reduction can also be detected for the German GDP. Since statistical inference for volatility processes critically depends on the specification of the conditional mean we assume for our volatility analysis different time series models for GDP growth. We find across all specifications evidence for an output stabilization around 1993, after the downturn following the boom associated with the German reunification. However, the different GDP models lead to alternative characterizations of this stabilization : In a linear AR model it shows up as smaller shocks hitting the economy, while regime switching models reveal as further sources for a stabilization, a narrowing gap between growth rates during booms and recessions or flatter trajectories characterizing the GDP growth rates. Furthermore, it appears that the reunification interrupted an output stabilization emerging already around 1987.

Suggested Citation

  • Liesenfeld, Roman & Hogrefe, Jens & Aßmann, Christian, 2005. "The Decline in German Output Volatility: A Bayesian Analysis," Economics Working Papers 2006-02, Christian-Albrechts-University of Kiel, Department of Economics.
    • Handle: RePEc:zbw:cauewp:4134
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    Cited by:

    1. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    2. Strotmann, Harald & Döpke, Jörg & Buch, Claudia M., 2006. "Does trade openness increase firm-level volatility?," Discussion Paper Series 1: Economic Studies 2006,40, Deutsche Bundesbank.
    3. Buch Claudia M & Doepke Joerg & Stahn Kerstin, 2009. "Great Moderation at the Firm Level? Unconditional vs. Conditional Output Volatility," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-27, May.
    4. Sandra Bilek-Steindl, 2012. "On the Change in the Austrian Business Cycle," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(1), pages 1-18.
    5. Claudia Buch & Martin Schlotter, 2013. "Regional origins of employment volatility: evidence from German states," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(1), pages 1-19, February.
    6. Magnus Reif, 2022. "Time‐Varying Dynamics of the German Business Cycle: A Comprehensive Investigation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 80-102, February.
    7. Zarges, Lara & Lehmann, Robert, 2024. "What Drives Trend German GDP Growth? A Disaggregated Sectoral View," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302409, Verein für Socialpolitik / German Economic Association.
    8. Hogrefe, Jens, 2007. "The yield spread and GDP growth - Time Varying Leading Properties and the Role of Monetary Policy," Economics Working Papers 2007-12, Christian-Albrechts-University of Kiel, Department of Economics.
    9. Konstantin A. Kholodilin & Erik Klär, 2007. "Dem Konjunkturzyklus auf der Spur: zur Prognose konjunktureller Wendepunkte in Deutschland," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 76(4), pages 8-20.

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    More about this item

    Keywords

    business cycle models; Gibbs sampling; Markov Chain Monte Carlo; regime switching; structural breaks;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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