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State Dependence in Labor Market Fluctuations

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Abstract

This paper documents state dependence in labor market fluctuations. Using a Threshold Vector Autoregression model (TVAR), we establish that the unemployment rate, the job separation rate, and the job finding rate exhibit a larger response to productivity shocks during periods with low aggregate productivity. A Diamond-Mortensen-Pissarides model with endogenous job separation and on-the-job search replicates these empirical regularities well. We calibrate the model to match the standard deviation of the job-transition rates explained by productivity shocks in the TVAR, and show that the model explains 88 percent of the state dependence in the unemployment rate, 76 percent for the separation rate and 36 percent for the job finding rate. The key channel underpinning state dependence in both job separation and job finding rates is the interaction of the firm s reservation productivity level and the distribution of match-specific idiosyncratic productivity. Results are robust across several variations to the baseline model.

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  • Pizzinelli, Carlo & Theodoridis, Konstantinos & Zanetti, Francesco, 2020. "State Dependence in Labor Market Fluctuations," Cardiff Economics Working Papers E2020/2, Cardiff University, Cardiff Business School, Economics Section.
    • Handle: RePEc:cdf:wpaper:2020/2
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    Cited by:

    1. Joshua Bernstein & Alexander W. Richter & Nathaniel A. Throckmorton, 2025. "The Matching Function and Nonlinear Business Cycles," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(2-3), pages 349-376, March.
    2. Nalban, Valeriu & Smădu, Andra, 2021. "Asymmetric effects of uncertainty shocks: Normal times and financial disruptions are different," Journal of Macroeconomics, Elsevier, vol. 69(C).
    3. Joshua Bernstein & Alexander W. Richter & Nathaniel A. Throckmorton, 2021. "Nonlinear Search and Matching Explained," Working Papers 2106, Federal Reserve Bank of Dallas.
    4. Nick Stenner, 2022. "The Asymmetric Effects of Monetary Policy: Evidence from the United Kingdom," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 516-543, June.
    5. Kohlbrecher, Britta & Merkl, Christian, 2022. "Business cycle asymmetries and the labor market," Journal of Macroeconomics, Elsevier, vol. 73(C).
    6. Beqiraj, Elton & Tancioni, Massimiliano, 2023. "Subsidizing new jobs in the Euro-zone periphery," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 380-401.
    7. Dimitris Christopoulos & Peter McAdam & Elias Tzavalis, 2023. "Exploring Okun's law asymmetry: An endogenous threshold logistic smooth transition regression approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 123-158, February.
    8. Xiwen Bai & Jesús Fernández-Villaverde & Yiliang Li & Francesco Zanetti, 2024. "The Causal Effects of Global Supply Chain Disruptions on Macroeconomic Outcomes: Evidence and Theory," Economics Series Working Papers 1033, University of Oxford, Department of Economics.
    9. Bernstein, Joshua & Richter, Alexander W. & Throckmorton, Nathaniel A., 2021. "Cyclical net entry and exit," European Economic Review, Elsevier, vol. 136(C).
    10. Ellington, Michael & Martin, Chris & Wang, Bingsong, 2021. "Search Frictions and Evolving Labour Market Dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).

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    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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