%0 Report
        %A Ham, John C.
%A Ozbeklik, Serkan
%A Shore-Sheppard, Lara
        %T Estimating Heterogeneous Take-up and Crowd-Out Responses to Marginal and Non-Marginal Medicaid Expansions
        %D 2011
        %8 2011 Jun
        %I Institute of Labor Economics (IZA)
        %C Bonn
        %7 IZA Discussion Paper
        %N 5779
        %U https://www.iza.org/publications/dp5779
        %X We use a linear probability model with interactions and a switching probit model (SPM) to estimate heterogeneous effects of Medicaid expansions on Medicaid take-up, private insurance coverage and crowd-out. Specifically, we estimate: i) LATEs; ii) ATETs for the currently eligible; and iii) ATETs for those made eligible by a non-marginal (counterfactual) expansion in Medicaid eligibility. Both estimation methods can control for observable differences across individuals, while SPM can also control for unobservable differences. For Medicaid take-up and private insurance coverage, the effects are precisely estimated and differ dramatically across demographic groups, but this is less true for the crowd-out estimates.
        %K switching probit model
%K treatment effects
%K crowd-out
%K take-up
%K Medicaid expansions
%K linear probability model with interactions
%K counterfactual policy analysis