The Effect of the State Children's Health Insurance Program on Health Insurance Coverage

LoSasso, Anthony T.; Buchmueller, Thomas C.

doi:10.3386/w9405

Cited by 103 publications

(166 citation statements)

References 17 publications

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“…The effect of a for-profit (F ) clinic is less than the first non-profit clinic, yet larger than the effect of the second non-profit clinic. 28 This is consistent with the coefficient estimates from the probit analysis of Table 3. Non-profit clinics have strong effects on each other, government clinics have a slightly weaker effect on N clinics and for-profit clinics have the smallest effect on non-profits.…”

Section: Estimates Of the Identified Setsupporting

confidence: 80%

See 1 more Smart Citation

Competition and Crowding-Out among Public, Non-Profit, and For-Profit Organizations: Evidence from Outpatient Substance Abuse Treatment

Cohen

Freeborn²,

McManus

2007

SSRN Journal

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U.S. markets for outpatient substance abuse treatment (OSAT) include clinics that are private for-profit, private non-profit, and public (i.e., government-run). We study the market structure of OSAT using recently-developed methods from the empirical industrial organization literature on equilibrium market structure in differentiated product markets. These methods allow us to describe OSAT clinics as heterogeneous in their objectives, their responses to exogenous market characteristics, and their responses to one another. We find that the presence of a public clinic in a market reduces the probability that a private clinic will also participate in the market, which is consistent with crowding-out between public and private provision of OSAT.Crowding out appears to be more prevalent in markets with larger white populations.

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Section: Estimates Of the Identified Setsupporting

confidence: 80%

“…The identified set is, however, smaller than the union of the individual intervals. 28 Other researchers have found similar effects of a second entrant in other markets (e.g. Mazzeo (2002) and Cohen and Mazzeo (2007)).…”

Section: Estimates Of the Identified Setmentioning

confidence: 63%

Competition and Crowding-Out among Public, Non-Profit, and For-Profit Organizations: Evidence from Outpatient Substance Abuse Treatment

Cohen

Freeborn²,

McManus

2007

SSRN Journal

View full text Add to dashboard Cite

show abstract

“…There is a small but growing literature assessing the effects of the SCHIP expansions on insurance coverage, with findings that show reductions in uninsurance, and accompanying reductions in private coverage ranging from a negligible amount to 50% depending on the data source, analytic approach, and year. 21,22 Recent findings suggest that SCHIP had positive spillover effects on participation in Medicaid. 23 A handful of state-specific studies examined the effects of SCHIP enrollment for children with special health care needs, finding improvements in access to care.…”

Section: Previous Studiesmentioning

confidence: 99%

Effects of the State Children's Health Insurance Program Expansions on Children With Chronic Health Conditions

2005

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ABSTRACT. Objective. To estimate the effects of the State Children's Health Insurance Program (SCHIP) expansions on insurance coverage, use of health care services, and access to care for children with chronic health conditions.Methods. The primary source of data was the National Health Interview Survey. Children with chronic health conditions were identified primarily through reported diagnoses of common chronic conditions (eg, asthma, attention-deficit disorder, mental retardation, Down syndrome, cerebral palsy, muscular dystrophy, sickle cell disease, diabetes, arthritis, heart disease) and on the presence of activity limitations caused by a health problem lasting at least 12 months. We examined changes in a broad array of outcomes for children with chronic health conditions who gained eligibility under SCHIP or who were already eligible for coverage under Medicaid, comparing the periods before and after implementation of the program. Changes for these treatment groups were compared with children with slightly higher incomes, who should not have been affected by the eligibility expansions. Comparisons were made with adjustment for child, family, and other characteristics that might have independent effects on the outcomes of interest. Outcomes included health insurance coverage, use of general and specialty services, access to care, and out-ofpocket spending on health care. Selected analyses were conducted for children not identified as having chronic health conditions.Results. The SCHIP expansions resulted in a 9.8 percentage point increase in the proportion of children with chronic conditions reporting public insurance and a 6.4 percentage point decline in the proportion uninsured. Unmet need for health care decreased by 8 percentage points, with most of the decline found for dental care. Increases in specialist, eye care, and dental visits and decreases in out-of-pocket spending and emergency-department and mental health visits were observed but did not meet standards of statistical significance. Estimated reductions in unmet need were greater for children with chronic conditions than for other children.Conclusions. Recent expansions in public insurance eligibility under SCHIP have improved coverage for children with chronic conditions, with selected improvements in access to care. However, some eligible children with chronic conditions remain uninsured, and the impact on access to care and service use were limited. Additional progress may require targeted outreach to children with chronic conditions and improvements in Medicaid and SCHIP service-delivery systems. Given the current fiscal environment and the fact that children with chronic conditions have not generally been protected from cutbacks, the recent progress documented in this study may be reversed. Pediatrics 2005;116:e34-e42. URL: www.pediatrics.org/cgi

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“…Cutler and Gruber, along with a number of subsequent studies, found crowdout estimates of roughly 50 percent, suggesting that half of the individuals who benefit from a public health insurance expansion would otherwise have been covered in the private market (e.g. Cutler and Gruber, 1996;LoSasso and Buchmueller, 2004;Gruber and Simon, 2008 Kolstad and Kowalski (2012a).…”

mentioning

confidence: 99%

Public Health Insurance, Labor Supply, and Employment Lock

Garthwaite

Gross

Notowidigdo

2013

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We study the effect of public health insurance eligibility on labor supply by exploiting the largest public health insurance disenrollment in the history of the United States. In 2005, approximately 170,000 Tennessee residents abruptly lost public health insurance coverage. Using both across-and within-state variation in exposure to the disenrollment, we estimate large increases in labor supply, primarily along the extensive margin. The increased employment is concentrated among individuals working at least 20 hours per week and receiving private, employer-provided health insurance. We explore the dynamic effects of the disenrollment and find an immediate increase in job search behavior and a steady rise in both employment and health insurance coverage following the disenrollment. Our results suggest a significant degree of "employment lock" -workers employed primarily in order to secure private health insurance coverage. The results also suggest that the Affordable Care Act -which similarly affects adults not traditionally eligible for public health insurance -may cause large reductions in the labor supply of low-income adults.

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The Effect of the State Children's Health Insurance Program on Health Insurance Coverage

Cited by 103 publications

References 17 publications

Competition and Crowding-Out among Public, Non-Profit, and For-Profit Organizations: Evidence from Outpatient Substance Abuse Treatment

Competition and Crowding-Out among Public, Non-Profit, and For-Profit Organizations: Evidence from Outpatient Substance Abuse Treatment

Effects of the State Children's Health Insurance Program Expansions on Children With Chronic Health Conditions

Public Health Insurance, Labor Supply, and Employment Lock

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