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Commuting, Migration, and Local Employment Elasticities

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  • Ferdinando Monte
  • Stephen J. Redding
  • Esteban Rossi-Hansberg

Abstract

We provide theory and evidence that the elasticity of local employment to a labor demand shock is heterogeneous depending on the commuting openness of the local labor market. We develop a quantitative general equilibrium model that incorporates spatial linkages in goods markets (trade) and factor markets (commuting and migration). We quantify this model to match the observed gravity equation relationships for trade and commuting. We find that empirically-observed reductions in commuting costs generate welfare gains of around 3.3 percent. We provide separate quasi-experimental evidence in support of the model's predictions using the location decisions of million dollar plants.

Suggested Citation

  • Ferdinando Monte & Stephen J. Redding & Esteban Rossi-Hansberg, 2018. "Commuting, Migration, and Local Employment Elasticities," American Economic Review, American Economic Association, vol. 108(12), pages 3855-3890, December.
  • Handle: RePEc:aea:aecrev:v:108:y:2018:i:12:p:3855-90
    Note: DOI: 10.1257/aer.20151507
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    More about this item

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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