Health & Biomedical Sciences Faculty Publications

Document Type

Article

Publication Date

12-2025

Abstract

Background: Health disparities in the United States (US) are closely linked to income inequality. While many studies have reported associations between income and health, causal evidence remains limited.

Objective: To estimate the causal effect of income-equalizing state policies, such as minimum wage increases, Medicaid expansion, and Earned Income Tax Credit (EITC) adjustments, on adult self-rated health using a difference-in-differences (DiD) framework.

Methods: Using the Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor Surveillance System (BRFSS) data from 2018 to 2023, a 2-way fixed-effects DiD model was employed to compare changes in the proportion of adults reporting fair or poor health between states that implemented income-related policies and those that did not. The covariates included the demographic and economic characteristics of the American Community Survey. Robustness checks included event study analyses, placebo tests, and models with state-specific linear trends.

Results: In baseline difference-in-differences models, policy adoption was linked to a -0.00403 (SE = 0.00141, P = .006) change in the likelihood of reporting fair or poor health, representing a 0.4 percentage-point decrease compared to control states; however, place-study diagnostics showed a significant pre-policy trend violation (F = 47.24, P < .001), which challenged the parallel-trends assumption. After adjusting for state-specific linear time trends, the estimated effects were both statistically and practically null. Placebo models with randomized policy dates produced null estimates, confirming robustness.

Conclusions: The observed improvements in self-reported health in baseline models were not robust to trend-adjusted specifications and likely reflected the underlying pre-policy trends. These findings underscore the importance of rigorous diagnostic testing in quasi-experimental evaluations of policy effects.

Comments

© The Author(s) 2025

This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Publication Title

Journal of Primary Care & Community Health

DOI

10.1177/21501319251403839

Included in

Public Health Commons

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