Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/51707 
Erscheinungsjahr: 
2011
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 5779
Verlag: 
Institute for the Study of Labor (IZA), Bonn
Zusammenfassung: 
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.
Schlagwörter: 
Medicaid expansions
take-up
crowd-out
treatment effects
switching probit model
linear probability model with interactions
counterfactual policy analysis
JEL: 
I18
C21
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

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