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Title: The Matching of STEM Degree Holders with STEM Occupations in Large Metropolitan Labor Markets in the United States

Citation Type: Journal Article

Publication Year: 2017

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Abstract: Workers in science, technology, engineering, and mathematics (STEM) are vital for regional and national prosperity. Not every person with STEM qualifications, however, finds employment in a STEM job. This article analyzes the geography of this matching between STEM degree holders and certain types of STEM occupations across large metropolitan labor markets in the United States. We find that although labor-market size has no effect, living in denser STEM labor markets elevates the probabilities of matching; having an advanced degree enhances this effect. Women are also far less likely to be matched than men; being black or Latino additionally lowers the chances of matching. Combining spatial effects with individual attributes increases probabilities of matching in places with high concentrations of STEM jobs for women, racial minorities, and the foreign born, but these advantages are often the same for white, native-born men. In denser STEM labor markets the job-matching advantage spans the labor pool, conferring no differential benefit for different population subgroups.

Url: https://www.tandfonline.com/doi/abs/10.1080/00130095.2016.1220803

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Authors: Townley, Matthew; Ellis, Mark; Wright, Richard

Periodical (Full): Economic Geography

Issue: 2

Volume: 93

Pages: 185-201

Data Collections: IPUMS USA

Topics: Education, Labor Force and Occupational Structure, Other

Countries: United States