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From school to work: How alumni networks on LinkedIn shape PhD journeys

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  • Zou, Haoqian

Abstract

This paper explores how alumni networks shape the school-to-work migration of PhD graduates entering nonacademic sectors. Using résumés collected from LinkedIn, I assembled a dataset of roughly 300,000 PhD graduates from 145 R1 universities between 1980 and 2016. The dataset provides detailed information on education and employment histories, enabling analysis of alumni stock and migration flows across school–state pairs. I employ panel regressions at the school–destination level, incorporating origin-year, destination-year, and origin–destination interactive fixed effects to address omitted-variable bias. The results show that a larger number of managerial alumni is positively associated with migration, likely reflecting a supportive role for new graduates. Conversely, more junior alumni are linked to lower migration, suggesting potential competitive pressures.

Suggested Citation

  • Zou, Haoqian, 2026. "From school to work: How alumni networks on LinkedIn shape PhD journeys," Economic Modelling, Elsevier, vol. 155(C).
  • Handle: RePEc:eee:ecmode:v:155:y:2026:i:c:s0264999325004146
    DOI: 10.1016/j.econmod.2025.107419
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    Keywords

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    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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