<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>50(2)</volume><submitter>Marton J</submitter><pubmed_abstract>&lt;h4>Objective&lt;/h4>To estimate the effect of premium increases on the probability that near-poor and moderate-income children disenroll from public coverage.&lt;h4>Data sources&lt;/h4>Enrollment, eligibility, and claims data for Georgia's PeachCare for Kids(™) (CHIP) program for multiple years.&lt;h4>Study design&lt;/h4>We exploited policy-induced variation in premiums generated by cross-sectional differences and changes over time in enrollee age, family size, and income to estimate the duration of enrollment as a function of the effective (per child) premium. We classify children as being of low, medium, or high illness severity.&lt;h4>Principal findings&lt;/h4>A dollar increase in the per-child premium is associated with a slight increase in a typical child's monthly probability of exiting coverage from 7.</pubmed_abstract><journal>Health services research</journal><pagination>579-98</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4369223</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Estimating premium sensitivity for children's public health insurance coverage: selection but no death spiral.</pubmed_title><pmcid>PMC4369223</pmcid><pubmed_authors>Ketsche PG</pubmed_authors><pubmed_authors>Zhou M</pubmed_authors><pubmed_authors>Adams EK</pubmed_authors><pubmed_authors>Marton J</pubmed_authors><pubmed_authors>Snyder A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Estimating premium sensitivity for children's public health insurance coverage: selection but no death spiral.</name><description>&lt;h4>Objective&lt;/h4>To estimate the effect of premium increases on the probability that near-poor and moderate-income children disenroll from public coverage.&lt;h4>Data sources&lt;/h4>Enrollment, eligibility, and claims data for Georgia's PeachCare for Kids(™) (CHIP) program for multiple years.&lt;h4>Study design&lt;/h4>We exploited policy-induced variation in premiums generated by cross-sectional differences and changes over time in enrollee age, family size, and income to estimate the duration of enrollment as a function of the effective (per child) premium. We classify children as being of low, medium, or high illness severity.&lt;h4>Principal findings&lt;/h4>A dollar increase in the per-child premium is associated with a slight increase in a typical child's monthly probability of exiting coverage from 7.</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015 Apr</publication><modification>2025-04-18T18:53:49.629Z</modification><creation>2019-03-27T01:48:36Z</creation></dates><accession>S-EPMC4369223</accession><cross_references><pubmed>25130764</pubmed><doi>10.1111/1475-6773.12221</doi></cross_references></HashMap>