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Education, experience, and urban wage premium

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  • Carlsen, Fredrik
  • Rattsø, Jørn
  • Stokke, Hildegunn E.

Abstract

Cities have higher wages and more college-educated workers than less populated areas. We investigate the heterogeneity of the agglomeration effect and sorting with respect to education. The magnitude of static and dynamic agglomeration effects on wages in Norway is estimated for different educational categories. Using rich administrative data for the period 2003–2010 with experience data back to 1993, we find that college-educated workers have higher return to labor market experience accumulated in cities. The city wage premium of less educated workers is increasing in job tenure, while the college educated gain more from shifting jobs between firms. We address sorting by comparing distributions of worker fixed effects by level of education. The distribution of unobserved abilities is similar in cities and the rest of the country for workers with only primary and secondary education, while the distribution for workers with college education is shifted to the right in cities. Sorting with respect to unobserved abilities matters for college-educated workers, even when taking dynamic learning effects into account. Distinguishing between young and old workers, we find that differences in unobserved abilities are more important early in a worker's career.

Suggested Citation

  • Carlsen, Fredrik & Rattsø, Jørn & Stokke, Hildegunn E., 2016. "Education, experience, and urban wage premium," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 39-49.
  • Handle: RePEc:eee:regeco:v:60:y:2016:i:c:p:39-49
    DOI: 10.1016/j.regsciurbeco.2016.06.006
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    Cited by:

    1. Peters, Jan Cornelius, 2016. "Quantifying the effect of labor market size on learning externalities," Economics Working Papers 2016-11, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Jørn Rattsø & Hildegunn E.Stokke, 2018. "Dynamic private-public wage gap: Return to experience, education level and cit effect," Working Paper Series 17518, Department of Economics, Norwegian University of Science and Technology.
    3. Edivaldo C. Neves Jr & Carlos R. Azzoni, Andre Chagas, 2017. "Skill wage premium and city size," Working Papers, Department of Economics 2017_19, University of São Paulo (FEA-USP).
    4. Rattsø, Jørn & Stokke, Hildegunn E., 2020. "Private-public wage gap and return to experience: Role of geography, gender and education," Regional Science and Urban Economics, Elsevier, vol. 84(C).
    5. Kent Eliasson & Olle Westerlund, 2023. "The urban wage premium and spatial sorting on observed and unobserved ability," Journal of Economic Geography, Oxford University Press, vol. 23(3), pages 601-627.
    6. Fredrik Carlsen & Stefan Leknes, 2022. "For whom are cities good places to live?," Regional Studies, Taylor & Francis Journals, vol. 56(12), pages 2177-2190, December.
    7. Shigeo Morita, 2022. "The MCPF under the pandemic," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(5), pages 993-1015, October.
    8. László Czaller & Rikard H. Eriksson & Balázs Lengyel, 2021. "Reducing automation risk through career mobility: Where and for whom?," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1545-1569, December.
    9. Jørn Rattsø & Hildegunn E. Stokke, 2017. "National income taxation and the geographic distribution of population," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(5), pages 879-902, September.
    10. Rattsø, Jørn & Stokke, Hildegunn E., 2019. "Identification of the private-public wage gap," Labour Economics, Elsevier, vol. 59(C), pages 153-163.
    11. Pan, Liqun & Mukhopadhaya, Pundarik & Li, Jing, 2019. "The changing texture of the city-size wage differential in Chinese cities – Effects of skill and identity," China Economic Review, Elsevier, vol. 53(C), pages 191-210.
    12. Jordy Meekes & Wolter H. J. Hassink, 2023. "Endogenous local labour markets, regional aggregation and agglomeration economies," Regional Studies, Taylor & Francis Journals, vol. 57(1), pages 13-25, January.
    13. Tina Hinz & Jens Mohrenweiser, 2019. "Competition, Institutions and Company-sponsored Training," Economics of Education Working Paper Series 0162, University of Zurich, Department of Business Administration (IBW).
    14. Almeida, Eloiza R.F. & Araújo, Veneziano & Gonçalves, Solange L., 2022. "Urban wage premium for women: evidence across the wage distribution," World Development, Elsevier, vol. 159(C).
    15. Jørn Rattsø & Hildegunn E Stokke, 2022. "Public sector wage compression and wage inequality: Gender and geographic heterogeneity," Working Paper Series 19522, Department of Economics, Norwegian University of Science and Technology.
    16. Bacolod, Marigee & De la Roca, Jorge & Ferreyra, María Marta, 2021. "In search of better opportunities: Sorting and agglomeration effects among young college graduates in Colombia," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    17. Eliasson, Kent & Westerlund, Olle, 2019. "Graduate migration, self-selection and urban wage premiums across the regional hierarchy," Umeå Economic Studies 962, Umeå University, Department of Economics.
    18. 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).
    19. Stefan Leknes, 2017. "Churning in thick labor markets. Evidence of heterogeneous responses along the skill and experience gradients," Discussion Papers 866, Statistics Norway, Research Department.
    20. Alessia Matano, 2022. "Spatial externalities in big cities and duality of the labour market," Journal of Regional Science, Wiley Blackwell, vol. 62(2), pages 471-498, March.
    21. Kent Eliasson & Olle Westerlund, 2023. "The urban wage premium and spatial sorting on observed and unobserved ability," Journal of International Economic Law, Oxford University Press, vol. 23(3), pages 601-627.

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    More about this item

    Keywords

    Agglomeration economies; Sorting; Education; Worker experience; Job tenure;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • 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)
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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