USING MATCHED SURVEY AND ADMINISTRATIVE DATA TO ESTIMATE ELIGIBILITY FOR THE MEDICARE PART D LOW-INCOME SUBSIDY PROGRAM.

This article uses matched survey and administrative data to estimate, as of 2006, the size of the population eligible for the Low-Income Subsidy (LIS), which was designed to provide "extra help" with premiums, deductibles, and copayments for Medicare Part D beneficiaries with low income and limited...

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Publicado en:Social Security Bulletin Vol. 70; no. 2; pp. 63 - 83
Autores principales: Meijer, Erik, Karoly, Lynn A., Michaud, Pierre-Carl
Formato: Artículo
Publicado: Social Security Administration 2010
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: USING MATCHED SURVEY AND ADMINISTRATIVE DATA TO ESTIMATE ELIGIBILITY FOR THE MEDICARE PART D LOW-INCOME SUBSIDY PROGRAM.
      aug:
        au:
          Meijer, Erik
          Karoly, Lynn A.
          Michaud, Pierre-Carl
        affil:
          Economists, RAND Corporation's Santa Monica office
          Senior economist, RAND's Washington office
      su:
        United States
        Medicare
        Subsidies
        Health insurance
        Medical care for older people
      sug:
        subj:
          Medicare
          Subsidies
          Health insurance
          United States
          Direct individual life, health and medical insurance carriers
          Direct group life, health and medical insurance carriers
          Administration of Human Resource Programs (except Education, Public Health, and Veterans' Affairs Programs)
          Medical care for older people
      ab: This article uses matched survey and administrative data to estimate, as of 2006, the size of the population eligible for the Low-Income Subsidy (LIS), which was designed to provide "extra help" with premiums, deductibles, and copayments for Medicare Part D beneficiaries with low income and limited assets. We employ individual-level data from the Survey of Income and Program Participation and the Health and Retirement Study to cover the potentially LIS-eligible noninstitutionalized and institutionalized populations of all ages. The survey data are matched to Social Security administrative data to improve on potentially error-ridden survey measures of income and program participation. Our baseline estimate, based on the matched data, is that about 12 million individuals were potentially eligible for the LIS as of 2006. A sensitivity analysis indicates that the use of administrative data has a relatively small effect on the estimates, but does suggest that measurement error is important to account for.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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