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Does the spatial density of employment stimulate inter-firm worker mobility? An analysis of Brazilian municipalities

Author

Listed:
  • Patrícia Araújo Amarante

    (Federal University of Paraíba (UFPB))

  • Magno Vamberto Batista Silva

    (Federal University of Paraíba (UFPB)
    Federal University of Paraíba (UFPB))

  • Paulo Aguiar Monte

    (Federal University of Paraíba (UFPB)
    Federal University of Paraíba (UFPB))

Abstract

This study aimed to investigate how the spatial density of employment affects inter-firm worker mobility in the Brazilian job market. For this purpose, evidence was produced through random-effect probit models applied to an employer–employee data panel that captures regional differences and characteristics related to workers and companies, constructed through the Annual Inventory of Social Information (Relação Anual de Informações Sociais—RAIS). The results indicated that individuals working in denser regions are more inclined toward inter-firm mobility. In general, employment density more strongly affects inter-firm mobility if the workers are men, are between the ages of 18 and 29 and have a higher level of schooling. In addition, the analysis by sectors indicates that for the Farming, Industry, Commerce, and Services, the employment density coefficient was positive and statistically significant.

Suggested Citation

  • Patrícia Araújo Amarante & Magno Vamberto Batista Silva & Paulo Aguiar Monte, 2019. "Does the spatial density of employment stimulate inter-firm worker mobility? An analysis of Brazilian municipalities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(1), pages 85-115, August.
    • Handle: RePEc:spr:anresc:v:63:y:2019:i:1:d:10.1007_s00168-019-00921-2
    DOI: 10.1007/s00168-019-00921-2
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    as
    1. Miles M. Finney & Janet E. Kohlhase, 2008. "The Effect Of Urbanization On Labor Turnover," Journal of Regional Science, Wiley Blackwell, vol. 48(2), pages 311-328, May.
    2. Pierre‐Philippe Combes & Gilles Duranton & Laurent Gobillon & Diego Puga & Sébastien Roux, 2012. "The Productivity Advantages of Large Cities: Distinguishing Agglomeration From Firm Selection," Econometrica, Econometric Society, vol. 80(6), pages 2543-2594, November.
    3. Wheeler, Christopher H., 2008. "Local market scale and the pattern of job changes among young men," Regional Science and Urban Economics, Elsevier, vol. 38(2), pages 101-118, March.
    4. Bleakley, Hoyt & Lin, Jeffrey, 2012. "Thick-market effects and churning in the labor market: Evidence from US cities," Journal of Urban Economics, Elsevier, vol. 72(2), pages 87-103.
    5. 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.
    6. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    7. Alessandra Faggian & Philip McCann & Stephen Sheppard, 2007. "Some Evidence That Women Are More Mobile Than Men: Gender Differences In U.K. Graduate Migration Behavior," Journal of Regional Science, Wiley Blackwell, vol. 47(3), pages 517-539, August.
    8. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    9. Farber, Henry S, 1994. "The Analysis of Interfirm Worker Mobility," Journal of Labor Economics, University of Chicago Press, vol. 12(4), pages 554-593, October.
    10. Enrico Moretti, 2004. "Workers' Education, Spillovers, and Productivity: Evidence from Plant-Level Production Functions," American Economic Review, American Economic Association, vol. 94(3), pages 656-690, June.
    11. Baltzopoulos, Apostolos & Braunerhjelm, Pontus & Tikoudis, Ioannis, 2012. "Spin-off: Individual, Firm, Industry and Regional Determinants," Working Paper Series in Economics and Institutions of Innovation 265, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    12. Börje Johansson & Johan Klaesson & Michael Olsson, 2002. "Time distances and labor market integration," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(3), pages 305-327.
    13. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171, Elsevier.
    14. Paul Almeida & Bruce Kogut, 1999. "Localization of Knowledge and the Mobility of Engineers in Regional Networks," Management Science, INFORMS, vol. 45(7), pages 905-917, July.
    15. Diego Puga, 2010. "The Magnitude And Causes Of Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 203-219, February.
    16. repec:hal:pseose:hal-00812695 is not listed on IDEAS
    17. Gian S. Sahota, 1968. "An Economic Analysis of Internal Migration in Brazil," Journal of Political Economy, University of Chicago Press, vol. 76(2), pages 218-218.
    18. Duranton, Gilles & Puga, Diego, 2004. "Micro-foundations of urban agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 48, pages 2063-2117, Elsevier.
    19. Rauch James E., 1993. "Productivity Gains from Geographic Concentration of Human Capital: Evidence from the Cities," Journal of Urban Economics, Elsevier, vol. 34(3), pages 380-400, November.
    20. Vassilis A. Hajivassiliou & Daniel L. McFadden, 1998. "The Method of Simulated Scores for the Estimation of LDV Models," Econometrica, Econometric Society, vol. 66(4), pages 863-896, July.
    21. Glaeser, Edward L & Mare, David C, 2001. "Cities and Skills," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 316-342, April.
    22. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
    23. Stephen Machin & Kjell G. Salvanes & Panu Pelkonen, 2012. "Education And Mobility," Journal of the European Economic Association, European Economic Association, vol. 10(2), pages 417-450, April.
    24. Helsley, Robert W. & Strange, William C., 1990. "Matching and agglomeration economies in a system of cities," Regional Science and Urban Economics, Elsevier, vol. 20(2), pages 189-212, September.
    25. repec:hal:spmain:info:hdl:2441/1kv8mtgl748r0ahh12air9erdc is not listed on IDEAS
    26. Sato, Yasuhiro, 2001. "Labor Heterogeneity in an Urban Labor Market," Journal of Urban Economics, Elsevier, vol. 50(2), pages 313-337, September.
    27. Alfonso Miranda, 2007. "Dynamic probit models for panel data: A comparison of three methods of estimation," United Kingdom Stata Users' Group Meetings 2007 11, Stata Users Group.
    28. Freedman, Matthew L., 2008. "Job hopping, earnings dynamics, and industrial agglomeration in the software publishing industry," Journal of Urban Economics, Elsevier, vol. 64(3), pages 590-600, November.
    29. Martin Andersson & Per Thulin, 2013. "Does spatial employment density spur inter-firm job switching?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(1), pages 245-272, August.
    30. Ricardo da Silva Freguglia & Eduardo Gonçalves & Estefania Ribeiro da Silva, 2014. "Composition and determinants of the skilled out-migration in the Brazilian formal labor market: A panel data analysis from 1995 to 2006," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 15(1), pages 100-117.
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    More about this item

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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