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Firm-Worker Matching in Industrial Clusters

Author

Listed:
  • Octávio Figueiredo

    (CEF.UP, Faculdade de Economia, Universidade do Porto)

  • Paulo Guimarães

    (CEF.UP, Faculdade de Economia, Universidade do Porto and University of South Carolina)

  • Douglas Woodward

    (University of South Carolina)

Abstract

In this paper we use a novel approach and a large Portuguese employer-employee panel data set to study the hypothesis that industrial agglomeration improves the quality of the firm-worker matching process. Our method makes use of recent developments in the estimation and analysis of models with high-dimensional fixed effects. Using wage regressions with controls for multiple sources of observed and unobserved heterogeneity we find little evidence that the quality of matching increases with firm's clustering within the same industry. This result supports Freedman's (2008) analysis using U.S. data.

Suggested Citation

  • Octávio Figueiredo & Paulo Guimarães & Douglas Woodward, 2011. "Firm-Worker Matching in Industrial Clusters," FEP Working Papers 434, Universidade do Porto, Faculdade de Economia do Porto.
    • Handle: RePEc:por:fepwps:434
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    References listed on IDEAS

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    2. Devereux, Michael P. & Griffith, Rachel & Simpson, Helen, 2004. "The geographic distribution of production activity in the UK," Regional Science and Urban Economics, Elsevier, vol. 34(5), pages 533-564, September.
    3. Edward L. Glaeser & Glenn Ellison, 1999. "The Geographic Concentration of Industry: Does Natural Advantage Explain Agglomeration?," American Economic Review, American Economic Association, vol. 89(2), pages 311-316, May.
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    5. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    6. Andersson, Fredrik & Burgess, Simon & Lane, Julia I., 2007. "Cities, matching and the productivity gains of agglomeration," Journal of Urban Economics, Elsevier, vol. 61(1), pages 112-128, January.
    7. John M. Abowd & Robert H. Creecy & Francis Kramarz, 2002. "Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data," Longitudinal Employer-Household Dynamics Technical Papers 2002-06, Center for Economic Studies, U.S. Census Bureau.
    8. Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent, 2008. "Spatial wage disparities: Sorting matters!," Journal of Urban Economics, Elsevier, vol. 63(2), pages 723-742, March.
    9. Ana Rute Cardoso & Miguel Portela, 2009. "Micro Foundations for Wage Flexibility: Wage Insurance at the Firm Level," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(1), pages 29-50, March.
    10. John M. Abowd & Paul A. Lengermann & Kevin L. McKinney, 2002. "The Measurement of Human Capital in the U.S. Economy," Longitudinal Employer-Household Dynamics Technical Papers 2002-09, Center for Economic Studies, U.S. Census Bureau, revised Mar 2003.
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    Cited by:

    1. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    2. Christopher Goetz & Henry Hyatt & Erika McEntarfer & Kristin Sandusky, 2016. "The Promise and Potential of Linked Employer-Employee Data for Entrepreneurship Research," NBER Chapters, in: Measuring Entrepreneurial Businesses: Current Knowledge and Challenges, pages 433-462, National Bureau of Economic Research, Inc.
    3. Vial, Virginie & Hanoteau, Julien, 2015. "Returns to Micro-Entrepreneurship in an Emerging Economy: A Quantile Study of Entrepreneurial Indonesian Households’ Welfare," World Development, Elsevier, vol. 74(C), pages 142-157.
    4. Leknes, Stefan & Rattsø, Jørn & Stokke, Hildegunn E., 2022. "Assortative labor matching, city size, and the education level of workers," Regional Science and Urban Economics, Elsevier, vol. 96(C).
    5. Martins, Pedro S. & Melo, António, 2024. "Making their own weather? Estimating employer labour-market power and its wage effects," Journal of Urban Economics, Elsevier, vol. 139(C).
    6. Woodcock, Simon D., 2023. "The determinants of displaced workers’ wages: Sorting, matching, selection, and the Hartz reforms," Journal of Econometrics, Elsevier, vol. 233(2), pages 568-595.

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    More about this item

    Keywords

    Firm-Worker Match; Industrial Clusters;

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R39 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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