2007
DOI: 10.1111/j.1475-6773.2007.00703.x
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Are the Current Population Survey Uninsurance Estimates Too High? An Examination of the Imputation Process

Abstract: The Robert Wood Johnson Foundation.

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Cited by 32 publications
(36 citation statements)
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References 12 publications
(5 reference statements)
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“…In our analysis file, we exclude individuals from households that did not respond to questions pertaining to insurance coverage in the CPS but had insurance status imputed by the Census Bureau, since that imputation process tends to overstate the number of uninsured residents in states with a low uninsurance rate relative to the national average, such as Massachusetts (Michael Davern et al 2007). The remaining CPS sample is reweighted to be representative of the population in each state in each year.…”
Section: B Datamentioning
confidence: 99%
“…In our analysis file, we exclude individuals from households that did not respond to questions pertaining to insurance coverage in the CPS but had insurance status imputed by the Census Bureau, since that imputation process tends to overstate the number of uninsured residents in states with a low uninsurance rate relative to the national average, such as Massachusetts (Michael Davern et al 2007). The remaining CPS sample is reweighted to be representative of the population in each state in each year.…”
Section: B Datamentioning
confidence: 99%
“…We ran a total of five models, one for each clinic characteristic. In order to examine whether clinic characteristics were associated with engagement, a "predictive margins" method (12), also known as the "recycled predictions" method (13)(14)(15), was used. In this method, model parameters from the original population were used to predict engagement for each clinic characteristic, with adjustment for all other observed individual-level characteristics (age, gender, diagnosis, insurance status, disability days, interview language, and intervention status).…”
Section: Discussionmentioning
confidence: 99%
“…We used an augmented version of the Current Population Survey to correct for a known limitation that causes state-level estimates of health insurance coverage to be biased toward the national average; this augmentation is known as the SHADAC-Enhanced Current Population Survey. [8][9][10][11] Without this augmentation, state health insurance estimates are biased because more than 10 percent of respondents do not answer the health insurance questions and the Census Bureau's method for imputing missing health insurance status is not state-specific. A more detailed description of this issue and our data file is available in the online Appendix.…”
Section: Study Data and Methodsmentioning
confidence: 99%