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The Time-Varying Beveridge Curve

In: Advances in Non-linear Economic Modeling

Author

Listed:
  • Luca Benati

    (University of Bern)

  • Thomas A. Lubik

    (Federal Reserve Bank of Richmond)

Abstract

We use a Bayesian time-varying parameter structural VAR with stochastic volatility to investigate changes in both the reduced-form relationship between vacancies and the unemployment rate, and in their relationship conditional on permanent and transitory output shocks, in the post-WWII United States. Evidence points towards similarities and differences between the Great Recession and the Volcker disinflation, and widespread time variation along two key dimensions. First, the slope of the Beveridge curve exhibits a large extent of variation from the mid-1960s on. It is also notably pro-cyclical, whereby the gain is positively correlated with the transitory component of output. The evolution of the slope of the Beveridge curve during the Great Recession is very similar to its evolution during the Volcker recession in terms of both its magnitude and its time profile. Second, both the Great Inflation episode and the subsequent Volcker disinflation are characterized by a significantly larger negative correlation between the reduced-form innovations to vacancies and the unemployment rate than the rest of the sample period. Those years also exhibit a greater cross-spectral coherence between the two series at business-cycle frequencies. This suggests that they are driven by common shocks.

Suggested Citation

  • Luca Benati & Thomas A. Lubik, 2014. "The Time-Varying Beveridge Curve," Dynamic Modeling and Econometrics in Economics and Finance, in: Frauke Schleer-van Gellecom (ed.), Advances in Non-linear Economic Modeling, edition 127, pages 167-204, Springer.
  • Handle: RePEc:spr:dymchp:978-3-642-42039-9_5
    DOI: 10.1007/978-3-642-42039-9_5
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    References listed on IDEAS

    as
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    4. Sabine Klinger & Enzo Weber, 2016. "Decomposing Beveridge Curve Dynamics By Correlated Unobserved Components," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 877-894, December.
    5. Stefan Schiman, 2021. "Labor Supply Shocks and the Beveridge Curve: Empirical Evidence from EU Enlargement," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 40, pages 108-127, April.
    6. Marco Guerrazzi, 2016. "Increasing Returns in Matching and Labour Market Dynamics: Comments on Indeterminacy and Search Theory," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 15(1), pages 85-88, June.
    7. Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021. "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," BEMPS - Bozen Economics & Management Paper Series BEMPS88, Faculty of Economics and Management at the Free University of Bozen.
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    9. Donayre, Luiggi, 2022. "On the behavior of Okun's law across business cycles," Economic Modelling, Elsevier, vol. 112(C).
    10. Legrand, Romain, 2018. "Time-Varying Vector Autoregressions: Efficient Estimation, Random Inertia and Random Mean," MPRA Paper 88925, University Library of Munich, Germany.
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    12. Guglielminetti, Elisa & Pouraghdam, Meradj, 2018. "Time-varying job creation and macroeconomic shocks," Labour Economics, Elsevier, vol. 50(C), pages 156-179.
    13. Meradj Morteza Pouraghdam, 2016. "Three essays on the role of frictions in the economy [Trois essais sur le rôle du désaccord en économie]," SciencePo Working papers tel-03498781, HAL.
    14. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2016. "Choosing Prior Hyperparameters," Working Paper 16-9, Federal Reserve Bank of Richmond.
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