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Stock-flow matching

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  • Ebrahimy, Ehsan
  • Shimer, Robert

Abstract

We develop the implications of the stock-flow matching model for unemployment, vacancies, and worker flows. Workers and jobs are heterogeneous, so most worker-job pairs cannot profitably match, leading to the coexistence of unemployment and vacancies. Productivity shocks cause fluctuations in the number of jobs, which in turn cause fluctuations in other labor market variables. We derive exact expressions for employment and for worker transition rates in a finite economy and analyze their limiting behavior in a large economy. A calibrated version of the model is consistent with the observed co-movement and volatility of labor market variables.

Suggested Citation

  • Ebrahimy, Ehsan & Shimer, Robert, 2010. "Stock-flow matching," Journal of Economic Theory, Elsevier, vol. 145(4), pages 1325-1353, July.
    • Handle: RePEc:eee:jetheo:v:145:y:2010:i:4:p:1325-1353
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    Cited by:

    1. Carlos Usabiaga & Pablo Álvarez de Toledo & Fernando Núñez, 2013. "Labour Market Segmentation, Clusters, Mobility And Unemployment Duration With Individual Microdata," EcoMod2013 5688, EcoMod.
    2. William Hawkins & Carlos Carrillo-Tudela, 2014. "A Generalized Model of Stock-Flow Matching," 2014 Meeting Papers 1380, Society for Economic Dynamics.
    3. Ge, Teng & Wu, Tao, 2020. "Search, migration, and social connections: Solving the migration puzzle to Beijing," China Economic Review, Elsevier, vol. 62(C).
    4. Khan, M. Ali & Qiao, Lei & Rath, Kali P. & Sun, Yeneng, 2020. "Modeling large societies: Why countable additivity is necessary," Journal of Economic Theory, Elsevier, vol. 189(C).
    5. Peter A. Diamond & Aysegül Sahin, 2016. "Disaggregating the Matching Function," CESifo Working Paper Series 6266, CESifo.
    6. Hutter, Christian & Weber, Enzo, 2014. "Forecasting with a mismatch-enhanced labor market matching function," IAB-Discussion Paper 201416, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Christian Hutter & Enzo Weber, 2017. "Mismatch and the Forecasting Performance of Matching Functions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(1), pages 101-123, February.
    8. Carlos Usabiaga & Fernando Núñez & Pablo Álvarez de Toledo, 2013. "Segmentación del mercado de trabajo, clusters, movilidad y duración de desempleo con datos individuales," Economic Working Papers at Centro de Estudios Andaluces E2013/02, Centro de Estudios Andaluces.
    9. Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2014. "An empirical approach on labour segmentation. Applications with individual duration data," Economic Modelling, Elsevier, vol. 36(C), pages 252-267.
    10. Carlos Carrillo‐Tudela & Ludo Visschers, 2023. "Unemployment and Endogenous Reallocation Over the Business Cycle," Econometrica, Econometric Society, vol. 91(3), pages 1119-1153, May.
    11. Predrag Trpeski & Verica Janeska & Marijana Cvetanoska & Aleksandra Lozanoska, 2017. "Unemployment and a Stock – Flow Model on the Labour Market in the Republic of Macedonia," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 41-63.
    12. Eric Smith, 2020. "High and Low Activity Spells in Housing Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 36, pages 1-28, April.
    13. Stefano Banfi & Benjamin Villena-Roldan & Sekyu Choi, 2018. "Deconstructing job search behavior," 2018 Meeting Papers 368, Society for Economic Dynamics.
    14. Ehrenfried, Felix & Holzner, Christian, 2019. "Dynamics and endogeneity of firms’ recruitment behaviour," Labour Economics, Elsevier, vol. 57(C), pages 63-84.
    15. Mergele, Lukas & Weber, Michael, 2020. "Public employment services under decentralization: Evidence from a natural experiment," Journal of Public Economics, Elsevier, vol. 182(C).

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