arXiv subjects

Jennifer Cohen

Publications and source records attributed to Jennifer Cohen.

6 recordsLinked to original sources

arXiv2026

Long COVID Prevalence, Disability, and Accommodations: Analysis Across Demographic Groups

Purpose: This paper examines the prevalence of long COVID across different demographic groups in the U.S. and the extent to which workers with impairments associated with long COVID have engaged in pandemic-related remote work. Methods: We use the U.S. Household Pulse Survey to evaluate the proportion of all adults who self-reported to (1) have had long COVID, and (2) have activity limitations due to long COVID. We also use data from the U.S. Current Population Survey to estimate linear probability regressions for the likelihood of pandemic-related remote work among workers with and without disabilities. Results: Findings indicate that women, Hispanic people, sexual and gender minorities, individuals without four-year college degrees, and people with preexisting disabilities are more likely to have long COVID and to have activity limitations from long COVID. Remote work is a reasonable arrangement for people with such activity limitations and may be an unintentional accommodation for some people who have undisclosed disabilities. However, this study shows that people with disabilities were less likely than people without disabilities to perform pandemic-related remote work. Conclusion: The data suggest this disparity persists because people with disabilities are clustered in jobs that are not amenable to remote work. Employers need to consider other accommodations, especially shorter workdays and flexible scheduling, to hire and retain employees who are struggling with the impacts of long COVID.

econ.GN↗

arXiv2026

An Intersectional Analysis of Long COVID Prevalence

Background. Long COVID symptoms (which include brain fog, depression, and fatigue) are mild at best and debilitating at worst. Some U.S. health surveys have found that women, lower income individuals, and those with less education are overrepresented among adults with long COVID, but these studies do not address intersectionality. Methods. We use 10 rounds of Household Pulse Survey (HPS) data from 2022 to 2023 to perform an intersectional analysis using descriptive statistics that evaluate the prevalence of long COVID and the interference of long COVID symptoms with day-to-day activities. We also estimate multivariate logistic regressions that relate the odds of having long COVID and activity limitations due to long COVID to a set of individual characteristics and intersections by sex, race/ethnicity, education, and sexual orientation and gender identity. Results. Women, some people of color, sexual and gender minorities, and people without college degrees are more likely to have long COVID and to have activity limitations from long COVID. Intersectional analysis reveals a striking step-like pattern: college-educated men have the lowest prevalence of long COVID while women without college educations have the highest prevalence. Daily activity limitations are more evenly distributed across demographics, but a different step-like pattern is present: fewer women with degrees have activity limitations while limitations are more widespread among men without degrees. Regression results confirm the negative association of long COVID with being a woman, less educated, Hispanic, and a sexual and gender minority, while results for the intersectional effects are more nuanced. Conclusions. Results point to systematic disparities in health, highlighting the need for policies that increase access to quality healthcare, strengthen the social safety net, and reduce economic precarity.

econ.GN↗

arXiv2026

Disability, Job Satisfaction, and Workplace Accommodations: Evidence from the Healthcare Industry

Purpose. This paper examines the extent to which job satisfaction, requests for accommodations, and the likelihood of a request being granted vary by disability status. We further analyze whether being granted workplace accommodations moderates the relationship between work satisfaction and disability. Methods. We use a novel survey of healthcare workers centered on disability status, perceptions of work experiences, and the provision of accommodations. The data are used in a descriptive analysis and multiple regressions to examine the moderating effect of accommodations on the relationship between disability and indicators related to job satisfaction. Results. Results show that people with disabilities have more negative perceptions of their work experiences than people without disabilities. Although people with disabilities are more likely to request accommodations than people without disabilities, they are equally likely to have their requests wholly or partly granted. Regression results indicate that the negative relationships between disability status and most measures of work experience are largely eliminated when accounting for the disposition of accommodation requests. The main exception is turnover intentions, in which the adverse relationship with having a disability does not change even when an accommodation is granted. Partly granting accommodations is helpful only for some metrics of job experience. Conclusion. Our paper shows that fully granting accommodations can go a long way to closing the disability gap in job satisfaction between people with and without disabilities.

econ.GN↗

arXiv2026

Prevalence of Food and Housing Insecurity among Direct Support Professionals in New York

Background. Low earnings are associated with household insecurity. Direct Support Professionals (DSPs) provide support for people with intellectual and developmental disabilities, typically for wages close to state minimums, and may experience insecurity. Objective. The purpose of the study was to evaluate the prevalence of food and housing insecurity among DSPs. Methods. We conducted a statewide, cross-sectional survey of DSPs in New York State (2022-2023). Measures included detailed questions about food and housing insecurity. We used chi-square analyses and logistic regressions to examine relationships between insecurity and demographic characteristics as proxies for social determinants of health. A total of 4,503 DSPs responded to the survey. The analytic sample contained 2,766 respondents with complete data for all relevant variables. Results. Overall, 62.6% experienced food and/or housing insecurity, with over half of those respondents experiencing both. Insecurity was highest among DSPs with a disability (76.2%), DSPs of color (75.7%), and those with lower income (72.4%), but over 50% of DSPs across demographic groups experienced insecurity. Conclusions. The widespread insecurity this study demonstrates is an occupational hazard that reduces worker welfare. At the macro-level, household insecurity is a critical threat to the stability of the care and support delivery system. The human services sector is projected to grow rapidly in the future. If growth continues along low wage lines, it implies an equally rapid expansion of worker insecurity. Government action to raise pay and interventions that enhance food and housing security are needed to support workers in the care delivery system for people with intellectual and developmental disabilities.

econ.GN↗

arXiv2026

Work from Home and Job Satisfaction: Differences by Disability Status among Healthcare Workers

Background: Many workers with disabilities face negative stereotypical attitudes, pay gaps, and a lack of respect in the workplace, contributing to substantially lower job satisfaction compared to people without disabilities. Work from home may help to increase job satisfaction for people with disabilities. Objective: This study analyzes how different measures of job satisfaction vary between people with and without disabilities, and the extent to which working from home moderates the relationship between disability and job satisfaction. Methods: We use multivariable regression analysis to examine if the ability to work from home moderates the relationship between disability and indicators related to job satisfaction. The dataset draws on a novel survey of healthcare professionals. Results: Results show that people with disabilities have relatively greater turnover intentions, lower sense of organizational commitment and support, weaker perceptions of openness and inclusion in the workplace, and worse relations with management and coworkers. Regressions indicate that working from home helps to improve most perceptions of work experiences but does so more for people without disabilities than for people with disabilities. Conclusions: The findings suggest that (a) some accommodations typically viewed as exceptions to meet the needs of people with disabilities have even greater benefits for the workforce at large and (b) because workers with and without disabilities benefit from remote work, we cannot expect those accommodations to close the gaps caused by inequities.

econ.GN↗

arXiv2022

Exposure Effects on Count Outcomes with Observational Data, with Application to Incarcerated Women

Causal inference methods can be applied to estimate the effect of a point exposure or treatment on an outcome of interest using data from observational studies. For example, in the Women's Interagency HIV Study, it is of interest to understand the effects of incarceration on the number of sexual partners and the number of cigarettes smoked after incarceration. In settings like this where the outcome is a count, the estimand is often the causal mean ratio, i.e., the ratio of the counterfactual mean count under exposure to the counterfactual mean count under no exposure. This paper considers estimators of the causal mean ratio based on inverse probability of treatment weights, the parametric g-formula, and doubly robust estimation, each of which can account for overdispersion, zero-inflation, and heaping in the measured outcome. Methods are compared in simulations and are applied to data from the Women's Interagency HIV Study.

stat.ME↗