Tag Archives | Labor Market

Life-Course Differences in Occupational Mobility Between Vocationally and Generally Trained Workers in Germany

Viktor Decker, Thijs Bol, Hanno Kruse

Sociological Science November 14, 2023
10.15195/v10.a30


Vocational education is considered beneficial to young workers entering the labor market but disadvantageous late in their careers. Many studies assume that late-career disadvantages stem from lower levels of occupational mobility, but do not explicitly study this mechanism. This study is the first to empirically assess whether and to what extent occupational mobility differs between workers with a general education and those with vocational training and to examine how these differences develop over workers’ life courses. Using multilevel linear probability models on panel data spanning 36 years of labor market participation in Germany, we find that vocationally educated workers are less mobile, but only in the first half of their careers. In the second half, mobility rates for vocationally and generally trained workers converge. Our findings support earlier research that links vocational education to less turbulent early careers. Yet, they do not support the notion of late-career mobility disparities between workers with different types of training. Implications for research on education-based differences in career outcomes are discussed.
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The Rise of Programming and the Stalled Gender Revolution

Siwei Cheng, Bhumika Chauhan, Swati Chintala

Sociological Science, April 30, 2019
10.15195/v6.a13


Despite remarkable progress toward gender equality over the past half-century, the stalled convergence in the gender wage gap after the mid-1990s remains a puzzle. This study provides new insights into this puzzle by conducting the first large-scale investigation of the uneven impact of the rise of programming in the labor market for men and women since the mid-1990s. We argue that the increasing reliance on programming has favored men’s economic status relative to women’s and therefore may help explain the slow convergence of the gender wage gap. We differentiate between two effects: (1) the composition effect, wherein men experience a greater employment growth in programming-intensive occupations relative to women, and (2) the price effect, wherein the wage returns to programming intensity increase more for men than women. Our empirical analysis documents a strong relationship between the rise of programming and the slow convergence of the gender wage gap among college graduates. Counterfactual simulations indicate that the absence of the composition and price effects would have reduced the gender wage gap over the past two decades by an additional 14.70 percent. These findings call attention to the role gender institutions play in shaping the uneven labor market impact of technological change.
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At the Expense of Quality

Brittany M. Bond, Tatiana Labuzova, Roberto M. Fernandez

Sociological Science, June 28, 2018
10.15195/v5.a17


Many organizations use employee referral programs to incentivize employees to refer potential applicants from their social networks. Employers frequently offer a monetary bonus to employees who refer an applicant, and this is often contingent on whether the person is then hired and retained for a given length of time. In deciding whether to refer someone, referrers face a potential role conflict, as they need to balance their motivations for helping connections find job opportunities with concerns regarding their reputations with their employers. To the extent that monetary incentives shift an employee’s considerations away from finding the best matches for the employer, referral bonuses may increase the chances that lower-quality candidates are referred. Using a survey vignette experiment, we find that even a small referral bonus increases the likelihood that referrers will refer lower-quality candidates, and they are more likely to refer people they do not know well. We further discuss theoretical and practical implications regarding the efficiency of incentivized referral programs in producing quality applicant pools for employers.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

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