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Endogenous Job Destruction and Job Matching in Cities

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  • Zenou, Yves

    (Research Institute of Industrial Economics (IFN))

Abstract

We propose a spatial search-matching model where both job creation and job destruction are endogenous. Workers are ex ante identical but not ex post since their job can be hit by a technological shock, which decreases their productivity. They reside in a city and commuting to the job center involves both pecuniary and time costs. Thus, workers with high wages are willing to live closer to jobs to save on time commuting costs. We show that, in equilibrium, there is a one-to-one correspondence between the productivity space and the urban location space. Workers with high productivities and wages reside close to jobs, have low commuting costs and pay high land rents. We also show that higher commuting costs and higher unemployment benefits lead to more job destruction.

Suggested Citation

  • Zenou, Yves, 2008. "Endogenous Job Destruction and Job Matching in Cities," Working Paper Series 752, Research Institute of Industrial Economics.
  • Handle: RePEc:hhs:iuiwop:0752
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    References listed on IDEAS

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    Cited by:

    1. Blien, Uwe & Messmann, Susanne & Trappmann, Mark, 2012. "Do reservation wages react to regional unemployment?," IAB-Discussion Paper 201222, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Giovanni Russo & Federico Tedeschi & Aura Reggiani & Peter Nijkamp, 2014. "Commuter Effects on Local Labour Markets: A German Modelling Study," Urban Studies, Urban Studies Journal Limited, vol. 51(3), pages 493-508, February.
    3. Roberto Ganau & Andrés Rodríguez-Pose, 2022. "Does urban concentration matter for changes in country economic performance?," Urban Studies, Urban Studies Journal Limited, vol. 59(6), pages 1275-1299, May.
    4. Kawata, Keisuke & Sato, Yasuhiro, 2012. "On-the-job search in urban areas," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 715-726.
    5. Torfs, Wouter & Zhao, Liqiu, 2015. "Everybody needs good neighbors? Labor mobility costs, cities and matching," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 39-54.
    6. Boitier, Vincent, 2018. "The role of labor market structure in urban sprawl," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 83-98.
    7. Sequeira, Sandra & Banerjee, Abhijit, 2020. "Spatial Mismatches and Imperfect Information in the Job Search," CEPR Discussion Papers 14414, C.E.P.R. Discussion Papers.
    8. Zenou, Yves, 2009. "Search in cities," European Economic Review, Elsevier, vol. 53(6), pages 607-624, August.
    9. Sargent, Kristina, 2023. "The labor market impacts of Brexit: Migration and the European union," Economic Modelling, Elsevier, vol. 121(C).
    10. Tse, Chung-Yi, 2010. "Thick market externalities in a spatial model," Regional Science and Urban Economics, Elsevier, vol. 40(2-3), pages 92-105, May.

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    More about this item

    Keywords

    Job Search; Commuting Costs; Wage Distribution; Urban Land Use;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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