The Impact of the Expansion of Insurance Coverage Under the Affordable Care Act on Health Care Disparities
*Names in bold indicate Presenter
Multiple logistic regression analysis is used to examine the improvement of three outcome variables in 2009, the year before the ACA reform was passed, and 2014, the first year the individual mandate provision has been implemented. In order to examine short-term trends among specific groups, the paper uses interaction terms by multiplying the year dummy variable with race or income groups. Adjusting for other confounders, including age, gender, marital status, education, employment, household size, and health behaviors, the probability of insurance coverage, accessibility and affordability of health care is expected to increase. The result would suggest that the reform effectively reduce racial and income inequality in access to care.