IDEAS home Printed from https://ideas.repec.org/p/hhs/umnees/0879.html
   My bibliography  Save this paper

Regional Clustering of Human Capital - School Grades and Migration of University Graduates

Author

Listed:
  • Tano, Sofia

    (Department of Economics, Umeå School of Business and Economics)

Abstract

The spatial distribution of human capital plays a fundamental role for regional differences in economic growth and welfare. This paper examines how individual ability indicated by the grade point average (GPA), from comprehensive school, affects the probability of migration among young university graduates in Sweden. Using detailed micro data available from the Swedish population registers, the study examines two cohorts of individuals who enrol in tertiary education. The results indicate that individual abilities reflected by the GPA are strongly influential when it comes to completing a university degree and for the migration decision after graduation. Moreover, there is a positive relationship between the GPA and the choice of migrating from regions with a relatively low tax base and a relatively small share of highly educated people in the population. Analogously, individuals with a high GPA tend to stay at a higher rate in more flourishing regions.

Suggested Citation

  • Tano, Sofia, 2014. "Regional Clustering of Human Capital - School Grades and Migration of University Graduates," Umeå Economic Studies 879, Umeå University, Department of Economics.
    • Handle: RePEc:hhs:umnees:0879
    as

    Download full text from publisher

    File URL: http://www.econ.umu.se/DownloadAsset.action?contentId=230776&languageId=3&assetKey=ues879
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John V. Winters, 2017. "Do earnings by college major affect graduate migration?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(3), pages 629-649, November.
    2. repec:cfe:wpcefa:2015_08 is not listed on IDEAS
    3. Yilin Zhao & Feng He & Ying Feng, 2022. "Research on the Current Situation of Employment Mobility and Retention Rate Predictions of “Double First-Class” University Graduates Based on the Random Forest and BP Neural Network Models," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    4. Yu. F. Florinskaya, 2017. "School graduates from small towns in Russia: Educational and migration strategies," Studies on Russian Economic Development, Springer, vol. 28(1), pages 87-96, January.
    5. Gertrudes Saúde Guerreiro & António Bento Caleiro, 2016. "The Spatial Convergence of Knowledge in Portugal," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 6(1), pages 1082-1082.
    6. Ye Liu & Jianfa Shen & Wei Xu & Guixin Wang, 2017. "From school to university to work: migration of highly educated youths in China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(3), pages 651-676, November.
    7. Bäckström, Peter, 2019. "Self-Selection and Recruit Quality in Sweden’s All Volunteer Force: Do Civilian Opportunities Matter?," Umeå Economic Studies 964, Umeå University, Department of Economics.
    8. Filippo Berti Mecocci & Amir Maghssudipour & Marco Bellandi, 2022. "The effect of cultural and creative production on human capital: Evidence from European regions," Papers in Regional Science, Wiley Blackwell, vol. 101(6), pages 1263-1287, December.
    9. Gertrudes Saúde Guerreiro & António Bento Caleiro, 2014. "A convergência espacial do conhecimento em Portugal," Economics Working Papers 01_2014, University of Évora, Department of Economics (Portugal).
    10. Yi-Fan Sun & Kun-Feng Pan & Zhang-Li He, 2020. "Intercity migration behavior of Chinese graduates: from home region to work destination," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(1), pages 111-132, February.

    More about this item

    Keywords

    Bivariate probit; individual ability; migration; regional clustering; university graduates;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:umnees:0879. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: David Skog (email available below). General contact details of provider: https://edirc.repec.org/data/inumuse.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.