The Unemployment Rate for Post-9/11 Veterans: A Multivariate Statistical Evaluation of American Community Survey Data, 2003–2015

Author

M. Celada, The Graduate Center, City University of New YorkFollow

Date of Degree

9-2018

Document Type

Dissertation

Degree Name

Ph.D.

Program

Social Welfare

Advisor

Sarah Jane (SJ) Dodd

Committee Members

Mary Clare Lennon

Andrea Savage

Subject Categories

Social and Behavioral Sciences

Keywords

Post-9/11, veteran unemployment, statistics

Abstract

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 for Black, Hispanic, Asian, Multiethnic as well as White veterans, respectively.

Recommended Citation

Celada, M., "The Unemployment Rate for Post-9/11 Veterans: A Multivariate Statistical Evaluation of American Community Survey Data, 2003–2015" (2018). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/2882