
pmid: 27886722
This paper analyzes earnings outcomes of Iraq/Afghanistan-era veterans. We utilize the 2009-2013 American Community Survey and a worker-matching methodology to decompose wage differences between veteran and non-veteran workers. Among fully-employed, 25-40 year-olds, veteran workers make 3% less than non-veteran workers. While male veterans make 9% less than non-veterans, female and black veterans experience a wage premium (2% and 7% respectively). Decomposition of the earnings gap identifies some of its sources. Relatively higher rates of disability and lower rates of educational attainment serve to increase the overall wage penalty against veterans. However, veterans work less in low-paying occupations than non-veterans, serving to reduce the wage penalty. Finally, among male and white subgroups, non-veterans earn more in the top quintile due largely to having higher educational attainment and greater representation in higher-paying occupations, such as management.
Adult, Employment, Male, Persons with Disabilities, Afghan Campaign 2001-, Salaries and Fringe Benefits, Racial Groups, Sexism, Gender Identity, Social Discrimination, Black or African American, Racism, Sex Factors, Ethnicity, Income, Educational Status, Humans, Female, Occupations, Iraq War, 2003-2011
Adult, Employment, Male, Persons with Disabilities, Afghan Campaign 2001-, Salaries and Fringe Benefits, Racial Groups, Sexism, Gender Identity, Social Discrimination, Black or African American, Racism, Sex Factors, Ethnicity, Income, Educational Status, Humans, Female, Occupations, Iraq War, 2003-2011
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
