This research has two objectives: to develop the case for examining Post-9/11 veteran unemployment through the prism of race and gender and to analyze Post-9/11 veteran unemployment, 2003-2015, through this demographic lens. First, it critically considers how entrenched normative assumptions and statistical methodologies for veteran unemployment analyses, largely irrespective of race, gender, and skill-biased technological change, impede the development of an alternate theoretical frame and analytical method to assess Post-9/11 veteran labor outcomes. As a result, scant information exists on the labor force outcomes of Post-9/11 veterans. Secondly, it conducts an intersectional methodological multivariate analysis of unemployment outcomes f...
Designed as a three-article style dissertation, this study was developed to first assess literature ...
We examine how gender, racial, and ethnic variation in unemployment and Unemployment Insurance (UI) ...
This study found that unemployment among female veterans was independently associated with screening...
This research has two objectives: to develop the case for examining Post-9/11 veteran unemployment t...
This study found that Afghanistan/Iraq era veterans have a higher likelihood of unemployment than no...
The purpose of this research is to examine the positive aspects of governmental employment policies ...
This data brief summarizes the demographics and trends in veteran employment from March 2015
Veterans struggle to enter the civilian labor market following military service. Since the September...
U.S. military veterans who served in the military after September 11, 2011 have seen consistently hi...
The reports are issued by the IVMF on the first Friday of each month, and represent the month-to-mon...
[Excerpt] In 2013, there were 21.4 million veterans in the civilian noninstitutional population, and...
The reports are issued by the IVMF on the first Friday of each month, and represent the month-to-mon...
The reports are issued by the IVMF on the first Friday of each month, and represent the month-to-mon...
This data brief summarizes the demographics and trends in veteran employment from 2011
Veteran employment trends and statistics among various demographics during October 2023
Designed as a three-article style dissertation, this study was developed to first assess literature ...
We examine how gender, racial, and ethnic variation in unemployment and Unemployment Insurance (UI) ...
This study found that unemployment among female veterans was independently associated with screening...
This research has two objectives: to develop the case for examining Post-9/11 veteran unemployment t...
This study found that Afghanistan/Iraq era veterans have a higher likelihood of unemployment than no...
The purpose of this research is to examine the positive aspects of governmental employment policies ...
This data brief summarizes the demographics and trends in veteran employment from March 2015
Veterans struggle to enter the civilian labor market following military service. Since the September...
U.S. military veterans who served in the military after September 11, 2011 have seen consistently hi...
The reports are issued by the IVMF on the first Friday of each month, and represent the month-to-mon...
[Excerpt] In 2013, there were 21.4 million veterans in the civilian noninstitutional population, and...
The reports are issued by the IVMF on the first Friday of each month, and represent the month-to-mon...
The reports are issued by the IVMF on the first Friday of each month, and represent the month-to-mon...
This data brief summarizes the demographics and trends in veteran employment from 2011
Veteran employment trends and statistics among various demographics during October 2023
Designed as a three-article style dissertation, this study was developed to first assess literature ...
We examine how gender, racial, and ethnic variation in unemployment and Unemployment Insurance (UI) ...
This study found that unemployment among female veterans was independently associated with screening...