Interpreting the Estimates from Four National Surveys of the Number of People Without Health Insurance

Swartz, Katherine

doi:10.3233/jem-1986-14306

Cited by 91 publications

(59 citation statements)

References 4 publications

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“…However, even after this redesign, some problems with the insurance variables are likely to remain. While the questions refer to coverage during the prior calendar year, a number of analysts have concluded that many responses in fact reflect coverage at the time of the interview (Swartz, 1986;Berger et al, 1998). Nonetheless, we follow the prior literature by treating the insurance variables as pertaining to the prior year.…”

Section: Data Source and Sample Characteristicsmentioning

confidence: 97%

The effect of the state children’s health insurance program on health insurance coverage

Sasso

Buchmueller

2004

Journal of Health Economics

189

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This paper presents the first national estimates of the effects of the SCHIP expansions on insurance coverage. Using CPS data on insurance coverage during the years 1996-2000, we estimate instrumental variables regressions of insurance coverage. Our regression results imply that 9% of children meeting income eligibility standards for SCHIP gained public insurance. While low, our estimates indicate that states were more successful in enrolling children in SCHIP than they were with prior Medicaid expansions that were focused on children just above the poverty line. Crowd-out of private health insurance was estimated to be nearly 50%, which is in line with estimates for the Medicaid expansions of the early 1990s. In addition, state anti-crowd-out provisions in the form of waiting periods were found to significantly affect both take-up and crowd-out.

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Section: Data Source and Sample Characteristicsmentioning

confidence: 97%

The effect of the state children’s health insurance program on health insurance coverage

Sasso

Buchmueller

2004

Journal of Health Economics

189

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“…Most people interpret the CPS insurance responses to represent coverage at a point in time. 18 An increase in those holding multiple coverage at one time suggests that some are using the new public program to supplement their private insurance-either to fill in gaps in its benefits or as a hedge against losing it in the future. Because private coverage is the primary payer, the public program is not substituting for this coverage but providing enhanced benefits.…”

Section: Discussionmentioning

confidence: 99%

Public Insurance Expansions and Crowd Out of Private Coverage

Marquis

Long

2003

Medical Care

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The results show a significant substitution of public insurance for private coverage in the expansions studied. However, endogeneity of state expansion policies and possible confounding with other policy changes temper the conclusions. More recent public insurance expansions as part of the State Childrens' Health Insurance Program have adopted a range of methods to limit crowd out. Future research is needed to evaluate whether these procedures and rules have succeeded.

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“…Although respondents are asked about their coverage during the entire previous year, their responses may actually reflect coverage at the time the survey was made. 21,22 As with all surveys, sampling and nonsampling errors occur in the Current Population Survey. Nonsampling errors (e.g., the inability of respondents to recall information accurately, difficulties with definitions, and errors in data collection and processing) are harder to estimate.…”

Section: Discussionmentioning

confidence: 99%