occupational sorting
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2021 ◽  
Vol 35 (4) ◽  
pp. 223-248
Author(s):  
Carolyn M. Sloane ◽  
Erik G. Hurst ◽  
Dan A. Black

The paper assesses gender differences in pre-labor market specialization among the college-educated and highlights how those differences have evolved over time. Women choose majors with lower potential earnings (based on male wages associated with those majors) and subsequently sort into occupations with lower potential earnings given their major choice. These differences have narrowed over time, but recent cohorts of women still choose majors and occupations with lower potential earnings. Differences in undergraduate major choice explain a substantive portion of gender wage gaps for the college-educated above and beyond simply controlling for occupation. Collectively, our results highlight the importance of understanding gender differences in the mapping between college major and occupational sorting when studying the evolution of gender differences in labor market outcomes over time.


2020 ◽  
Vol 42 (6) ◽  
pp. 1423-1440
Author(s):  
Jutta Viinikainen ◽  
Petri Böckerman ◽  
Marko Elovainio ◽  
Christian Hakulinen ◽  
Mirka Hintsanen ◽  
...  

PurposeA prominent labour market feature in recent decades has been the increase in abstract and service jobs, while the demand for routine work has declined. This article examines whether the components of Type A behaviour predict workers' selection into non-routine abstract, non-routine service and routine jobs.Design/methodology/approachBuilding on the work by Barrick et al. (2013), this article first presents how the theory of purposeful work behaviour can be used to explain how individuals with different levels of Type A components sort into abstract, service and routine jobs. Then, using longitudinal data, it examines whether the components of Type A behaviour predict occupational sorting. Estimations were performed based on the linear regression method.FindingsThe results show that the Type A dimension “leadership” was associated with a higher level of abstract and service job tasks in occupation. High eagerness-energy and responsibility were also positively linked with occupation's level of abstract tasks. These results suggest that workers sort into jobs that allow them to pursue higher-order implicit goals.Originality/valueJob market polarisation towards low-routine jobs has had a pervasive influence on the labour market during the past few decades. Based on high-quality data that combine prime working-age register information on occupational attainment with information about personality characteristics, the findings contribute to our knowledge of how personality characteristics contribute to occupational sorting in terms of this important job aspect.


2020 ◽  
Author(s):  
Christopher (Kit) F. Baum ◽  
Hans Loof ◽  
Andreas Stephan ◽  
Klaus F. Zimmermann

Author(s):  
Warn N. Lekfuangfu ◽  
Suphanit Piyapromdee ◽  
Ponpoje Porapakkarm ◽  
Nada Wasi

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Amanda McFarland ◽  
Sarah Pearlman

Abstract Occupational sorting now is one of the main drivers of the gender wage gap. Differential rates of human capital depreciation, or knowledge obsolescence, have been put forward as one potential explanation. This paper provides new evidence on this relationship using a dataset on academic citations constructed by the authors. The dataset covers numerous fields and decades, making it a more recent and comprehensive measure of human capital depreciation. Using data on occupations from the ACS we find that higher rates of knowledge obsolescence are associated with reductions in women’s presence in a field. We also find that knowledge obsolescence reduces female presence in college majors at the undergraduate level.


2019 ◽  
Vol 18 (5) ◽  
pp. 2608-2646 ◽  
Author(s):  
Nicola Bianchi ◽  
Michela Giorcelli

Abstract This paper studies the effects of university STEM education on innovation and labor market outcomes by exploiting a change in enrollment requirements in Italian STEM majors. University-level scientific education had two direct effects on the development of patents by students who had acquired a STEM degree. First, the policy changed the direction of their innovation. Second, it allowed these individuals to reach top positions within firms and be more involved in the innovation process. STEM degrees, however, also changed occupational sorting. Some higher-achieving individuals used STEM degrees to enter jobs that required university-level education, but did not focus on patenting.


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