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Firm--worker matching in industrial clusters

Author

Listed:
  • Octávio Figueiredo
  • Paulo Guimarães
  • Douglas Woodward

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.
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Suggested Citation

  • Octávio Figueiredo & Paulo Guimarães & Douglas Woodward, 2014. "Firm--worker matching in industrial clusters," Journal of Economic Geography, Oxford University Press, vol. 14(1), pages 1-19, January.
    • Handle: RePEc:oup:jecgeo:v:14:y:2014:i:1:p:1-19
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    File URL: http://hdl.handle.net/10.1093/jeg/lbt009
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    1. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1077-1106.
    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.
    4. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
    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. repec:hal:spmain:info:hdl:2441/1kv8mtgl748r0ahh12air9erdc is not listed on IDEAS
    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

    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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