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Regional Variations in Labor Demand Elasticities: Evidence from U.S. Counties

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  • Maiti, Abhradeep
  • Indra, Debarshi

Abstract

We use a large panel dataset covering the years 1988 to 2010 to estimate county specific total wage elasticities of labor demand for four highly aggregated industries in the United States. Our industries are construction, finance/real estate/service, manufacturing, and retail trade, which together employ on average over eighty percent of the U.S. national labor force per year. We use both the conventional constant coefficient panel data model and a random coefficients panel data model to estimate labor demand elasticities in various industries. We find the labor demand curves in all the industries studied to be downward sloping. We also find significant evidence that the total wage elasticity of labor demand exhibits regional variation. The labor demand estimates obtained in this study are useful to investigate the differential impact of various shocks and policy changes on the labor market. As an example, we use the estimated county specific labor demand elasticities to identify the impact of union membership and right to work laws on labor demand. We show that labor demand tends to become less elastic with higher union membership rates. We also find that labor demand becomes more elastic if a right to work law is in place.

Suggested Citation

  • Maiti, Abhradeep & Indra, Debarshi, 2014. "Regional Variations in Labor Demand Elasticities: Evidence from U.S. Counties," MPRA Paper 57544, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:57544
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    References listed on IDEAS

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    1. Hsiao, C. & Pesaran, M.H., 2004. "‘Random Coefficient Panel Data Models’," Cambridge Working Papers in Economics 0434, Faculty of Economics, University of Cambridge.
    2. Slaughter, Matthew J., 2001. "International trade and labor-demand elasticities," Journal of International Economics, Elsevier, vol. 54(1), pages 27-56, June.
    3. Victor R. Fuchs & Alan B. Krueger & James M. Poterba, 1998. "Economists' Views about Parameters, Values, and Policies: Survey Results in Labor and Public Economics," Journal of Economic Literature, American Economic Association, vol. 36(3), pages 1387-1425, September.
    4. Rana Hasan & Devashish Mitra & K.V. Ramaswamy, 2007. "Trade Reforms, Labor Regulations, and Labor-Demand Elasticities: Empirical Evidence from India," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 466-481, August.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    6. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    7. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    8. Arindrajit Dube & T. William Lester & Michael Reich, 2010. "Minimum Wage Effects Across State Borders: Estimates Using Contiguous Counties," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 945-964, November.
    9. Hirofumi Uzawa, 1962. "Production Functions with Constant Elasticities of Substitution," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 29(4), pages 291-299.
    10. Daniel S. Hamermesh, 1993. "Labor Demand and the Source of Adjustment Costs," NBER Working Papers 4394, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Labor Demand Elasticity; Random Parameter Model; Union Membership; Right to Work Law;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J50 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - General
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • 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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