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

Author

M. Celada, CUNY Graduate CenterFollow

Date of Degree

9-2018

Document Type

Doctoral Dissertation

Degree Name

Doctor of Philosophy

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