LAUSR

This study provides evidence of health and insurance coverage disparities between the cisgender and transgender US populations using repeated cross sections from the 2014-2020 Behavioral Risk Factors Surveillance Systems. The analysis tests whether increasing the incidence of insurance coverage among transgender people could alleviate the health disparity. The empirical approach uses a fuzzy regression discontinuity design that leverages breaks in government health assistance eligibility by age. Results indicate that, for transgender recipients only, insurance coverage meaningfully improves mental health; for cisgender recipients only, insurance coverage reduces difficulties with concentration and memory; and for both the transgender and cisgender populations, insurance coverage contributes to important improvements in physical health, overall health, and healthcare access.