{"title":"Adverse Selection in ACA Exchange Markets: Evidence from Colorado","authors":"Matthew T. Panhans","doi":"10.2139/ssrn.2920049","DOIUrl":null,"url":null,"abstract":"This study tests for adverse selection in the Affordable Care Act (ACA) health insurance exchanges established in 2014, and quantifies the welfare consequences. Using a new statewide dataset of medical claims from Colorado, I use plausibly exogenous premium variation generated by geographic discontinuities to test for selection. Specifically, each $1 increase in monthly premiums causes a $0.85–0.95 increase in annual medical expenditures of the insured population in 2014, with attenuated effects in 2015. These estimates are consistent with the prevalence of chronic conditions, and difference-in-differences estimates. The results offer the first quasi-experimental evidence of adverse selection in the ACA markets. (JEL D82, G22, H51, H75, I13, I18)","PeriodicalId":177602,"journal":{"name":"Health Care Delivery & Financing eJournal","volume":"255 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Care Delivery & Financing eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2920049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28
Abstract
This study tests for adverse selection in the Affordable Care Act (ACA) health insurance exchanges established in 2014, and quantifies the welfare consequences. Using a new statewide dataset of medical claims from Colorado, I use plausibly exogenous premium variation generated by geographic discontinuities to test for selection. Specifically, each $1 increase in monthly premiums causes a $0.85–0.95 increase in annual medical expenditures of the insured population in 2014, with attenuated effects in 2015. These estimates are consistent with the prevalence of chronic conditions, and difference-in-differences estimates. The results offer the first quasi-experimental evidence of adverse selection in the ACA markets. (JEL D82, G22, H51, H75, I13, I18)