Knowledge and Earnings

Gabe, Todd

doi:10.1111/j.1467-9787.2008.00603.x

Cited by 39 publications

(36 citation statements)

References 60 publications

(71 reference statements)

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“…In this sense, our work also contributes to the growing literature emphasizing occupation-based regional analysis (Gabe 2009;Florida, Mellander, and Stolarick 2008;Markusen 2004;Feser 2003). …”

Section: Introductionmentioning

confidence: 72%

Human Capital and Economic Activity in Urban America

Abel

Gabe²

2011

Regional Studies

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractWe examine the relationship between human capital and economic activity in U.S. metropolitan areas, extending the literature in two ways. First, we utilize new data on metropolitan area GDP to measure economic activity. Results show that a one-percentagepoint increase in the proportion of residents with a college degree is associated with about a 2 percent increase in metropolitan area GDP per capita. Second, we develop measures of human capital that reflect the types of knowledge within U.S. metropolitan areas. Regional knowledge stocks related to the provision of producer services and information technology are important determinants of economic vitality.

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Section: Introductionmentioning

confidence: 72%

Human Capital and Economic Activity in Urban America

Abel

Gabe²

2011

Regional Studies

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“…Table 16 in the Appendix), hence we decided to re-weight the spatial distribution of STEM jobs, using the weights shown in the last column of Table 16. 30 The first map in Figure 4.2 shows that even after re-weighting, London still has by far the greatest concentration of all STEM vacancies, explaining why it may be so attractive to STEM educated job seekers. In 2015, London concentrated 14.5% of all STEM vacancies with the next biggest demand for STEM knowledge and skills coming from West Midlands (which includes Birmingham and Coventry) with only 4.8% of STEM vacancies, followed by Greater Manchester (4.1%) and West Yorkshire (3.96%).…”

Section: Spatial Distributionmentioning

confidence: 99%

“…Bratti et al [11] use a British cohort study from 1970 to estimate wage returns by major studied. Gabe [30] takes a different approach. Instead of the discipline studied, he combines worker knowledge requirements from the O*NET with wage and demographic information from the U.S. Census American Community Survey.…”

Section: P<001mentioning

confidence: 99%

The STEM Requirements of 'Non-STEM' Jobs: Evidence from UK Online Vacancy Postings and Implications for Skills & Knowledge Shortages

Grinis¹

2016

SSRN Journal

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Do employers in "non-STEM" occupations (e.g. Graphic Designers, Economists) seek to hire STEM (Science, Technology, Engineering, and Mathematics) graduates with a higher probability than non-STEM ones for knowledge and skills that they have acquired through their STEM education (e.g. "Microsoft C#", "Systems Engineering") and not simply for their problem solving and analytical abilities? This is an important question in the UK where less than half of STEM graduates work in STEM occupations and where this apparent leakage from the "STEM pipeline" is often considered as a wastage of resources. To address it, this paper goes beyond the discrete divide of occupations into STEM vs. non-STEM and measures STEM requirements at the level of jobs by examining the universe of UK online vacancy postings between 2012 and 2016. We design and evaluate machine learning algorithms that classify thousands of keywords collected from job adverts and millions of vacancies into STEM and non-STEM. 35% of all STEM jobs belong to non-STEM occupations and 15% of all postings in non-STEM occupations are STEM. Moreover, STEM jobs are associated with higher wages within both STEM and non-STEM occupations, even after controlling for detailed occupations, education, experience requirements, employers, etc. Although our results indicate that the STEM pipeline breakdown may be less problematic than typically thought, we also find that many of the STEM requirements of "non-STEM" jobs could be acquired with STEM training that is less advanced than a full time STEM education. Hence, a more efficient way of satisfying the STEM demand in non-STEM occupations could be to teach more STEM in non-STEM disciplines. We develop a simple abstract framework to show how this education policy could help reduce STEM shortages in both STEM and non-STEM occupations. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means without the prior permission in writing of the publisher nor be issued to the public or circulated in any form other than that in which it is published.Requests for permission to reproduce any article or part of the Working Paper should be sent to the editor at the above address. © Inna Grinis submitted 2017 THE STEM REQUIREMENTS OF "NON-STEM" JOBS: EVIDENCE FROM UK ONLINE VACANCY POSTINGS AND IMPLICATIONS FOR SKILLS & KNOWLEDGE SHORTAGESINNA GRINIS* Abstract. Do employers in "non-STEM" occupations (e.g. Graphic Designers, Economists) seek to hire STEM (Science, Technology, Engineering, and Mathematics) graduates with a higher probability than non-STEM ones for knowledge and skills that they have acquired through their STEM education (e.g. "Microsoft C#", "Systems Engineering") and not simply for their problem solving and analytical abilities? This is an important question in the UK where less than half of STEM graduates work in STEM occupations and where this apparent leakage from the "STEM pipeline" is often considered as a wastage of resources. To addre...

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“…Occupational Skill: There is a related literature that finds regional performance to also be related to the level of occupational skill (Florida 2002;Gabe 2009). As per this literature, we define three categories of occupational skill.…”

Section: Economic Social and Demographic Variablesmentioning

confidence: 99%

The Geography of Economic Segregation

Florida

Mellander

2018

Social Sciences

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This study examines the key factors that are associated with the geography of economic segregation across US metros. It connects the sociological literature on the extent and variation of economic segregation to the urban economics literature on the factors associated with urban and regional performance. It advances the hypothesis that economic segregation will be greater in larger, denser, more knowledge-based regions as well as in light of racial factors and income inequality. It utilizes measures of Income, Educational, and Occupational Segregation along with a combined measure of Overall Economic Segregation. Our findings are in line with the hypothesis and indicate that economic segregation is associated with larger, denser, more highly educated metros. Economic segregation is also to a certain extent related with race and ethnicity, commuting style, and income inequality.

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Knowledge and Earnings

Cited by 39 publications

References 60 publications

Human Capital and Economic Activity in Urban America

Human Capital and Economic Activity in Urban America

The STEM Requirements of 'Non-STEM' Jobs: Evidence from UK Online Vacancy Postings and Implications for Skills & Knowledge Shortages

The Geography of Economic Segregation

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