Ontology highlight
ABSTRACT: Objective
To quantify the impact of Medicaid enrollment on access to care and adherence to recommended preventive services.Data source
2005-2015 Medical Expenditure Panel Survey Household Component.Study design
We examined several access measures and utilization of several preventive services within the past year and within the time frame recommended by the United States Preventive Services Task Force, if more than a year. We estimated local average treatment effects of Medicaid enrollment using a new, two-stage regression model developed by Nguimkeu, Denteh, and Tchernis. This model accounts for both endogenous and underreported Medicaid enrollment by using a partial observability bivariate probit regression as the first stage. We identify the model with an exogeno
SUBMITTER: Hill SC
PROVIDER: S-EPMC7839643 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature