Decomposing social indicators using distributional data.

Are the poor less healthy? Does public health spending matter more to them? We decompose aggregate health indicators using a random coefficients model in which the aggregates are regressed on the population distribution by subgroups, taking account of the statistical properties of the error term....

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Econometrics Vol. 77; pp. 125 - 140
Autores principales: Bidani, Benu, Ravallion, Martin
Formato: Artículo
Publicado: Elsevier Science March 1997
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=512961493&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 512961493
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        03044076
        ECM
      jtl: Journal of Econometrics
      issn: 03044076
      maglogo: N
    pubinfo:
      dt: March 1997
      vid: 77
      pid: 1004
      pub: Elsevier Science
    artinfo:
      ui:
        512961493
        10.1016/S0304-4076(95)01809-3
      ppf: 125
      ppct: 15
      formats:
      tig:
        atl: Decomposing social indicators using distributional data.
      aug:
        au:
          Bidani, Benu
          Ravallion, Martin
      su:
        Health & social status
        Public health in developing countries
        Health status indicators
        Econometric models
        Government spending policy
        Developing countries
        Poor people
      sug:
        subj:
          Health & social status
          Public health in developing countries
          Health status indicators
          Econometric models
          Government spending policy
          Developing countries
          Poor people
      ab: Are the poor less healthy? Does public health spending matter more to them? We decompose aggregate health indicators using a random coefficients model in which the aggregates are regressed on the population distribution by subgroups, taking account of the statistical properties of the error term. This also allows us to test possible determinants of the variation in the underlying subgroup indicators. The approach is implemented with data on health outcomes and poverty measures for 35 developing countries. We find that poor people have appreciably worse health status on average than others, and that differences in public health spending tend to matter more to the poor. Reprinted by permission of the publisher.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N