Literature DB >> 32489331

Where science, technology, engineering, and mathematics (STEM) graduates move: Human capital, employment patterns, and interstate migration in the United States.

Richard Wright1, Mark Ellis2.   

Abstract

This research investigates the interstate migration of workers in the United States who have earned an undergraduate STEM (science, technology, engineering, and mathematics) degree compared with those who have not. We build on previous studies that (a) classified "skilled" workers as having earned an undergraduate degree (b) used net migration gain or loss as a yardstick of relative destination attraction, and (c) advanced the idea that physical amenities play an outsized role in labour market preferences for skilled workers. We calibrate the attractivity of states for three levels of human capital and then evaluate these assessments of relative attractivity to show that workers with different types of human capital respond to different labour market signals in contradictory ways. Amenity, measured by heating degree days, has little to do with the state-to-state migration of workers who have a STEM degree, yet helps explain the migration patterns of workers with no undergraduate degree. Employment growth in a state influences migration for degreed workers in the recessionary years but not in the period of recovery. The opposite holds for workers without a degree. States with high percentages of any type of degreed workers attract both STEM and non-STEM degreed migrants but not those without a degree. States with a large share of STEM degreed workers in their degreed workforce are especially attractive for STEM degreed migrants. The conclusions discuss what the findings imply about diverging access to labour market opportunity by human capital and state higher education policy.

Entities:  

Keywords:  STEM; amenity; attractivity; human capital; migration

Year:  2018        PMID: 32489331      PMCID: PMC7266164          DOI: 10.1002/psp.2224

Source DB:  PubMed          Journal:  Popul Space Place        ISSN: 1544-8444


  11 in total

1.  Jobs versus amenities in the analysis of metropolitan migration.

Authors:  M J Greenwood; G L Hunt
Journal:  J Urban Econ       Date:  1989-01

2.  Defense spending and interregional labor migration.

Authors:  M Ellis; R Barff; A R Markusen
Journal:  Econ Geogr       Date:  1993-04

3.  Modeling out-migration from depressed regions: the significance of origin and destination characteristics.

Authors:  G L Clark; K P Ballard
Journal:  Environ Plan A       Date:  1980

4.  Immigrant patents boost growth.

Authors:  Jennifer Hunt
Journal:  Science       Date:  2017-05-19       Impact factor: 47.728

5.  Frozen in Place: Net Migration in sub-National Areas of the United States in the Era of the Great Recession.

Authors:  Kenneth M Johnson; Katherine J Curtis; David Egan-Robertson
Journal:  Popul Dev Rev       Date:  2017-09-14

6.  Migration differentials by education and occupation: trends and variations.

Authors:  L H Long
Journal:  Demography       Date:  1973-05

7.  The allure of new immigrant destinations and the Great Recession in the United States.

Authors:  Mark Ellis; Richard Wright; Matthew Townley
Journal:  Int Migr Rev       Date:  2014

8.  Immigrants Equilibrate Local Labor Markets: Evidence from the Great Recession.

Authors:  Brian C Cadena; Brian K Kovak
Journal:  Am Econ J Appl Econ       Date:  2016-01

9.  Human Capital Redistribution in the USA: The Migration of the College-bound.

Authors:  Alessandra Faggian; Rachel Franklin
Journal:  Spat Econ Anal       Date:  2014-11-14

10.  Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?

Authors:  Jay M Ver Hoef; Peter L Boveng
Journal:  Ecology       Date:  2007-11       Impact factor: 5.499

View more
  1 in total

1.  The changing geography of social mobility in the United States.

Authors:  Dylan Shane Connor; Michael Storper
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-16       Impact factor: 11.205

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.