The civilian labor market experiences of Vietnam-era veterans: the influence of psychiatric disorders

2000 ◽  
Vol 3 (4) ◽  
pp. 199-207 ◽  
Author(s):  
Elizabeth Savoca ◽  
Robert Rosenheck

ILR Review ◽  
1997 ◽  
Vol 51 (1) ◽  
pp. 64-81 ◽  
Author(s):  
Susan L. Ettner ◽  
Richard G. Frank ◽  
Ronald C. Kessler

Analyzing data on 2,225 men and 2,401 women from the National Comorbidity Survey, the authors examine the impact of psychiatric disorders on employment and, among those employed, work hours and income. They find that psychiatric disorders significantly reduced employment among both men and women. They also find evidence of small reductions in the conditional work hours of men and a substantial drop in the conditional income of men and women, although these findings are somewhat sensitive to the estimation methods and specification of the model.



ILR Review ◽  
1997 ◽  
Vol 51 (1) ◽  
pp. 64 ◽  
Author(s):  
Susan L. Ettner ◽  
Richard G. Frank ◽  
Ronald C. Kessler


2004 ◽  
Vol 35 (3) ◽  
pp. 409-419 ◽  
Author(s):  
HONG XIAN ◽  
JEFFREY F. SCHERRER ◽  
PAMELA A. F. MADDEN ◽  
MICHAEL J. LYONS ◽  
MING TSUANG ◽  
...  

Background. Nicotine withdrawal is associated with failed smoking cessation and thus contributes to continuance of the habit and increases risk of smoking-related illnesses. Withdrawal is also associated with psychiatric disorders such as depression and alcoholism. However, relatively little is known about how to characterize the severity of withdrawal, including whether withdrawal subtypes exist in male smokers. If so, do these subtypes represent quantitative or qualitative differences?Method. Smoking and withdrawal data were obtained from 4112 male–male twin pairs of the Vietnam Era Twin Registry during a 1992 administration of the Diagnostic Interview Schedule. Latent Class Analysis (LCA) was used to derive significantly different nicotine withdrawal profiles, and their association with psychiatric disorders was assessed. Genetic and environmental contributions and the correlation between these contributions were evaluated using bivariate biometrical modeling of the withdrawal phenotype and failed smoking cessation.Results. The LCA model which best fit the data was a four-class severity continuum. Psychiatric disorders were significantly associated with more severe classes and the magnitude of the association increased as withdrawal severity increased. Genetics accounted for 31% and 51% of the variance in risk for withdrawal and failed cessation, respectively. The genetic contributions were significantly correlated (r=0·37).Conclusions. Nicotine withdrawal classes are characterized by quantitative differences. The strong association between psychiatric disorders and withdrawal severity and the significant genetic correlation between withdrawal and cessation highlight the importance of withdrawal severity. Further refinement of the DSM definition of withdrawal to incorporate severity ratings may be warranted.



1984 ◽  
Vol 9 (4) ◽  
pp. 295-310 ◽  
Author(s):  
Richard D. Marcus

The most widely followed technique to estimate the rate of return to a year of schooling was provided by Mincer (1974) . This paper extends Mincer's semilog wage regression method to include those who interrupted their schooling with years of work. Schooling and the duration of the interruption interact to create nonlinearities in the rate of return to schooling. The proposed method is then applied to both Vietnam era G.I. students and civilian interrupters. It is found that interrupters earn substantially the same rate of return as the rate of return to uninterrupted schooling at the same level of schooling. G.I. students earned slightly higher rates of return to their interrupted schooling, but their accumulated work experience was not valued highly in the labor market.







2007 ◽  
Vol 32 (1) ◽  
pp. 137-147 ◽  
Author(s):  
Hong Xian ◽  
Jeffrey F. Scherrer ◽  
Seth A. Eisen ◽  
Michael J. Lyons ◽  
Ming Tsuang ◽  
...  


Sign in / Sign up

Export Citation Format

Share Document