ArticleJournal of rehabilitation2025
A National Analysis of Self-Employment Among People with Disabilities Across Demographic and Geographic Factors.
Article in Journal of rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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Authors and funding
7 authors.
Funding
Abstract
backgroundA scarcity of research has examined self-employment status in the United States (U.S.) among people with disabilities across multiple social identities to understand in-depth variations.
objectiveThe purpose of this analysis was to identify predictors of self-employment status among disabled individuals across select social identities (i.e., race/ethnicity, sex, sexual orientation, poverty status, and geography).
methodData from four combined waves (years 2020, 2021, 2022, and 2023) of the National Survey on Health and Disability (NSHD) (N = 762) on self-employment status were extracted and analyzed using Machine Learning algorithms (Random Forest, Logistic Regression, and XGBoost) to identify significant predictors of self-employment.
resultsKey findings indicated that disabled African Americans/Blacks had lower self-employment rates compared to all other racial/ethnic cohorts; disabled African Americans/Blacks living in poverty or in urban locales had significantly lower odds of self-employment compared to Asians, Native Hawaiians, Other Pacific Islanders, and American Indian and Alaska Natives (A/NH/OPI/AIAN) not living in poverty or living in rural areas, respectively. Additionally, disabled A/NH/OPI/AIAN individuals living in poverty showed significantly lower self-employment odds compared to their non-poverty status counterparts.
conclusionsRecommendations are presented for employment service interventions and entrepreneurial policy modifications aimed at catalyzing self-employment opportunities for people with disabilities that could help accelerate local and national economic growth.
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Registered trials
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