Arbeitspapier

Finance and the Reallocation of Scientific, Engineering and Mathematical Talent

The US financial sector has become a magnet for the brightest graduates in the science, technology, engineering and mathematical fields (STEM). We provide quantitative bases for this anecdotal fact for the US, over the period 1980-2019 and with a specific focus on the last decade where information on major fields of study is available. First, we show that long-run educational upgrading of finance was biased towards STEM graduates, especially for postgraduates, and accelerated in the last decade. Second, the STEM upgrading also occurs within finance and business occupations, matching a task reorientation towards mathematics in those occupations. Third, STEM reallocation towards finance is more pronounced among experienced workers peaking at prime age. Fourth, the reallocation of STEM is associated with large wage premia in finance, which are heterogeneous across occupations, age groups, degrees and along the wage distribution. Returns to STEMs are higher than returns to other degrees in finance and become very high in finance and managerial occupations at the top of the distribution, especially for postgraduates.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 017.2022

Classification
Wirtschaft
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Financial Institutions and Services: Government Policy and Regulation
Returns to Education
Human Capital; Skills; Occupational Choice; Labor Productivity
Wage Level and Structure; Wage Differentials
Subject
Finance industry
finance occupations
STEM labour markets
reallocation
technological change

Event
Geistige Schöpfung
(who)
Marin, Giovanni
Vona, Francesco
Event
Veröffentlichung
(who)
Fondazione Eni Enrico Mattei (FEEM)
(where)
Milano
(when)
2022

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Marin, Giovanni
  • Vona, Francesco
  • Fondazione Eni Enrico Mattei (FEEM)

Time of origin

  • 2022

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