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Investing In Lagging Regions Is Efficient: A Local Multipliers Analysis Of U.S. Cities

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  • Jasper van Dijk

Abstract

This paper shows that attracting tradable jobs to a city has a bigger positive impact on employment in the non-tradable sector in the same city when the unemployment rate is higher. Therefore it is efficient to stimulate firms in the tradable sector to locate and/or expand in cities with relatively high unemployment rate. This policy would also reduce disparity between cities. Finally the jobs created in the non-tradable sector due to this local multiplier effect from the tradable sector will employ relatively more current inhabitants in cities with a high unemployment rate, thus making this policy more attractive for local policy makers as well. A simple model illustrates the effect of a demand shock on employment in the non-tradable sector of a city. Empirically I consider the effect of demand from workers in the tradable sector on employment in the non-tradable sector in the same city using U.S. census data from 1980 to 2000. I find that 100 additional jobs in the tradable sector will increase employment in the non-tradable sector in the same city by employing 81 current residents and employing 28 workers that move to the city from other regions. I find that the size of this local employment multiplier depends on the local unemployment rate. Specifically, the multiplier for current residents increases, which drives the overall effect, but the multiplier for migrants decreases.

Suggested Citation

  • Jasper van Dijk, 2016. "Investing In Lagging Regions Is Efficient: A Local Multipliers Analysis Of U.S. Cities," Economics Series Working Papers 776, University of Oxford, Department of Economics.
  • Handle: RePEc:oxf:wpaper:776
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    References listed on IDEAS

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    1. Enrico Moretti, 2010. "Local Multipliers," American Economic Review, American Economic Association, vol. 100(2), pages 373-377, May.
    2. Faggio, Giulia & Overman, Henry, 2014. "The effect of public sector employment on local labour markets," Journal of Urban Economics, Elsevier, vol. 79(C), pages 91-107.
    3. Moene, Karl Ove, 1988. "A reformulation of the Harris-Todaro mechanism with endogenous wages," Economics Letters, Elsevier, vol. 27(4), pages 387-390.
    4. Enrico Moretti & Per Thulin, 2013. "Local multipliers and human capital in the United States and Sweden," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 22(1), pages 339-362, February.
    5. Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle, November.
    6. Jasper van Dijk, 2014. "Local Employment Multipliers in U.S. cities," Economics Series Working Papers 730, University of Oxford, Department of Economics.
    7. Michael Greenstone & Richard Hornbeck & Enrico Moretti, 2008. "Identifying Agglomeration Spillovers: Evidence from Million Dollar Plants," Working Paper series 36_08, Rimini Centre for Economic Analysis.
    8. Michael Greenstone & Enrico Moretti, 2003. "Bidding for Industrial Plants: Does Winning a 'Million Dollar Plant' Increase Welfare?," NBER Working Papers 9844, National Bureau of Economic Research, Inc.
    9. Shapiro, Carl & Stiglitz, Joseph E, 1984. "Equilibrium Unemployment as a Worker Discipline Device," American Economic Review, American Economic Association, vol. 74(3), pages 433-444, June.
    10. repec:rim:rimwps:36-08 is not listed on IDEAS
    11. Harris, John R & Todaro, Michael P, 1970. "Migration, Unemployment & Development: A Two-Sector Analysis," American Economic Review, American Economic Association, vol. 60(1), pages 126-142, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Local labour market; Multiplier; Tradable; Non-tradable; Unemployment; Migration;
    All these keywords.

    JEL classification:

    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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