@TechReport{iza:izadps:dp5779,
            	author={Ham, John C. and Ozbeklik, Serkan and Shore-Sheppard, Lara},
            	title={Estimating Heterogeneous Take-up and Crowd-Out Responses to Marginal and Non-Marginal Medicaid Expansions},
            	year={2011},
	month={Jun},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={5779},
            	url={https://www.iza.org/publications/dp5779},
	abstract={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.},
	keywords={switching probit model;treatment effects;crowd-out;take-up;Medicaid expansions;linear probability model with interactions;counterfactual policy analysis},
            }