Labor Market Effects of Marijuana and Cocaine Use among Young Men

ILR Review ◽  
1992 ◽  
Vol 45 (3) ◽  
pp. 435-448 ◽  
Author(s):  
Charles A. Register ◽  
Donald R. Williams

Using data on marijuana and cocaine use from the 1984 National Longitudinal Survey of Youth, the authors examine the hypothesis that drug use reduces labor market productivity, as measured by wages. From an analysis that controls for the probability of employment and the endogeneity of drug use, they find that although long-term and on-the-job use of marijuana negatively affected wages, the net productivity effect for all marijuana users (both those who engaged in long-term or on-the-job use and those who did not) was positive. No statistically significant association was found between cocaine use and productivity.

ILR Review ◽  
1994 ◽  
Vol 47 (3) ◽  
pp. 454-470 ◽  
Author(s):  
Robert Kaestner

Using the 1984 and 1988 waves of the National Longitudinal Survey of Youth, this study provides an update of several previous cross-sectional estimates of the effect of illicit drug use on wages, as well as the first longitudinal estimates of that effect. The cross-sectional results, which are generally consistent with the surprising findings of previous research, suggest that illicit drug use has a large, positive effect on wages. The longitudinal estimates, which control for unobserved heterogeneity in the sample, are mixed: among men, the estimated wage effects of both marijuana and cocaine use are negative, but among women, the effect of cocaine use remains positive and large. Because the longitudinal model is imprecisely estimated, however, those results are inconclusive.


ILR Review ◽  
2003 ◽  
Vol 56 (4) ◽  
pp. 606-621 ◽  
Author(s):  
Lois Joy

Why do recent male college graduates earn more than their female counterparts? The author explores this question by estimating several salary regressions using data from the 1993–94 NCES Baccalaureate and Beyond Longitudinal Study. The results suggest that labor market variables outweighed academic variables in their contribution to the gender salary gap. Of the academic variables, gender differences in total credits accounted for more of the salary gap than did gender differences in majors, grades, or institution attended. Of the labor market variables, gender differences in job sector, industry, and hours worked had the largest effect on gender differences in salaries. Differences in how men and women searched for and selected first jobs appear to have had little impact on gender differences in salary. Most important, as much as 75% of the wage gap remains unexplained by both the academic and labor market variables.


2015 ◽  
Vol 38 (10) ◽  
pp. 1389-1413 ◽  
Author(s):  
Dmitry Tumin ◽  
Zhenchao Qian

Informal marital separation often quickly leads to divorce, but can become long-lasting, especially among disadvantaged populations. In this study, we focus on the timing of divorce after separating and examine how unemployment before or during separation affects this pivotal moment in the divorce process. Using data from the National Longitudinal Survey of Youth, 1979 Cohort ( N = 2,219), we track unemployment before and during separation and show that men’s unemployment during separation, rather than women’s, reduces the likelihood of divorce, independent of preseparation unemployment and other characteristics. For men, unemployment during a marital separation prolongs the divorce process, creating an extended period of uncertainty in marital relationships on the brink of dissolution. We discuss the gendered relationship observed between employment status during an informal separation and an estranged couple’s decision to complete the divorce process.


2021 ◽  
Vol 111 ◽  
pp. 476-480
Author(s):  
Stephen L. Ross ◽  
Patralekha Ukil

We test whether employment growth in a male worker's initial industry influences earnings growth using the 1979 National Longitudinal Survey of Youth. We follow workers for 20 years after reporting their first industry, finding that lower employment growth in their initial industry implies substantially lower earnings growth. Notably, after controlling for observable skills, controls for family background and region have no impact on estimates. Effects appear larger for initial occupations that involve more routine or manual tasks as well as for occupations that involve less abstract tasks, but these differences are not statistically significant.


2020 ◽  
Author(s):  
Marco Stampini ◽  
María Laura Oliveri ◽  
Pablo Ibarrarán ◽  
Diana Londoño ◽  
Ho June (Sean) Rhee ◽  
...  

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