大都市区
匹配(统计)
繁荣
种族(生物学)
人口经济学
人口
空间不匹配
劳动经济学
经济
地理
人口学
经济增长
社会学
统计
数学
性别研究
考古
作者
Richard Wright,Mark Ellis,Matthew Townley
标识
DOI:10.1080/00130095.2016.1220803
摘要
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.
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