Estimating heterogeneous take-up and crowd-out responses to marginal and non-marginal medicaid expansions

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 5779

Classification and Topics

• Classification: Wirtschaft ; Health: Government Policy; Regulation; Public Health ; Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
• Subject: Medicaid expansions ; take-up ; crowd-out ; treatment effects ; switching probit model ; linear probability model with interactions ; counterfactual policy analysis

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Ham, John C. ; Ozbeklik, I. Serkan ; Shore-Sheppard, Lara
• Event: Veröffentlichung
• (who): Institute for the Study of Labor (IZA)
• (where): Bonn
• (when): 2011

Further information

• Handle: http://hdl.handle.net/10419/51707
• URN: urn:nbn:de:101:1-20110621399
• Last update: 10.03.2025, 11:44 AM CET