TY - JOUR
T1 - The State Children's Health Insurance Program
T2 - Participation and Substitution
AU - Lee, Ho Jin
AU - Tian, Wei Hua
AU - Tomohara, Akinori
N1 - Funding Information:
We are grateful to the CMS and state administrative staffs for providing information on SCHIP, Janet Currie, Jonathan Gruber, and Aaron Yelowitz for providing the dataset regarding the income eligibility thresholds for the Medicaid program, and Anthony Lo Sasso and Thomas Buchmueller for providing income disregards data. We gratefully acknowledge comments and suggestions by Marigee Bacolod, David Brownstone, Thomas Buchmueller, Anthony Lo Sasso, Sarah Senesky, Mireille Jacobson, and Molly Sherlock, and thank seminar participants at July 2005 ERIU Conference in Michigan for their comments. Financial support from the Economic Research Initiative on the Uninsured and Research Foundation and the Research Foundation of the City University of New York is gratefully acknowledged. All errors are ours.
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008/9
Y1 - 2008/9
N2 - We examine the effects of SCHIP enactment by focusing on two policy concerns: take-up and crowd-out. The literature has examined how income eligibility expansions affect the type of children's insurance coverage. However, states jointly implemented various policy instruments. The results in previous works do not control for this variety. We analyze how changes in several SCHIP factors affected decisions regarding health insurance coverage. Our analysis indicates that the estimates in the literature may have combined the effects of various policy factors. In distinguishing individual policy factors, our results provide useful information for designing effective public health insurance programs.
AB - We examine the effects of SCHIP enactment by focusing on two policy concerns: take-up and crowd-out. The literature has examined how income eligibility expansions affect the type of children's insurance coverage. However, states jointly implemented various policy instruments. The results in previous works do not control for this variety. We analyze how changes in several SCHIP factors affected decisions regarding health insurance coverage. Our analysis indicates that the estimates in the literature may have combined the effects of various policy factors. In distinguishing individual policy factors, our results provide useful information for designing effective public health insurance programs.
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U2 - 10.1016/j.soscij.2008.07.006
DO - 10.1016/j.soscij.2008.07.006
M3 - Article
AN - SCOPUS:51349164699
VL - 45
SP - 382
EP - 400
JO - Social Science Journal
JF - Social Science Journal
SN - 0362-3319
IS - 3
ER -
