Estimating Heterogeneous Take-up and Crowd-Out Responses to Marginal and Non-Marginal Medicaid Expansions
John Ham,
Serkan Ozbeklik and
Lara Shore-Sheppard
No 5779, IZA Discussion Papers from Institute of Labor Economics (IZA)
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 (search for similar items in EconPapers)
JEL-codes: C21 I18 (search for similar items in EconPapers)
Pages: 52 pages
Date: 2011-06
New Economics Papers: this item is included in nep-hea
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Citations: View citations in EconPapers (3)
Published - published in: Journal of Human Resources, 2014, 49 (4), 872-905
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