Type of Document Dissertation Author Lee, Kyoungwoo Author's Email Address klee@kdu.edu URN etd-04262007-025200 Title State Children's Health Insurance Program: Participation Decision and Labor Supply Effects Degree Ph.D. Department Economics (Policy Studies) Advisory Committee
Advisor Name Title Dr. Mary Beth Walker Committee Chair Dr. Erdal Tekin Committee Member Dr. Patricia G. Ketsche Committee Member Dr. Paul G. Farnham Committee Member Keywords
- crowd out
- SCHIP
- labor supply
- health insurance
Date of Defense 2007-03-01 Availability unrestricted Abstract Our study estimates the crowd-out of private health insurance following SCHIP expansions for children. We use panel data from the 2001 panel of the Survey of Income and Program Participation (SIPP). We use multivariate regression models to the crowd-out of private health insurance. This difference-in-differences approach controls for other factors that affect both the control group and treatment group, and measures the extent of crowd-out private coverage in the treatment group relative to the control group. We find that nearly 26 percent of the transitions from private coverage into SCHIP coverage were made by children who would have had private coverage in the absence of the expansions. This paper provides evidence that the SCHIP expansions have overall displacement effect of 52.9 percent for private coverage for those children who had private coverage or were uninsured from the first interview in 2001.This dissertation provides empirical evidence on the impact of SCHIP on single mothers¡¯ working decisions using recent CPS (Current Population Survey) data during 1999-2005. The empirical work requires a measure of the change in eligibility requirements; we compute a measure suggested by Yelowitz (1995). The major findings of this paper are: first, SCHIP expansions are found to have a significant positive impact on hours-worked decision; second, most models yielded results that indicated that SCHIP expansions have a generally insignificant impact on the decision to work.
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