Empirical Bayes Estimation of Demographic Schedules for Small Areas.

In this article, we analyze empirical B ayes (EB) methods for estimating small-area rate schedules. We develop EB methods that treat schedules as vectors and use adaptive neighborhoods to keep estimates appropriately local. This method estimates demographic rates for local subpopulations by borrowin...

Descripción completa

Detalles Bibliográficos
Publicado en:Demography Vol. 42; no. 3; pp. 537 - 559
Autores principales: Assunçāo, Renato M., Schmertmann, Carl P., Potter, Joseph E.
Formato: Artículo
Publicado: Springer Science & Business Media B.V. August 2005
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=510440620&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 510440620
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00703370
        DEM
      jtl: Demography
      issn: 00703370
      maglogo: N
    pubinfo:
      dt: August 2005
      vid: 42
      iid: 3
      pid: 237
      pub: Springer Science & Business Media B.V.
    artinfo:
      ui:
        510440620
        10.1353/dem.2005.0022
      ppf: 537
      ppct: 22
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 1.5MB
      tig:
        atl: Empirical Bayes Estimation of Demographic Schedules for Small Areas.
      aug:
        au:
          Assunçāo, Renato M.
          Schmertmann, Carl P.
          Potter, Joseph E.
      su:
        Bayesian analysis
        Statistics
        Demography methodology
        Mathematical models
        Population forecasting
        Sociology
      sug:
        subj:
          Bayesian analysis
          Statistics
          Demography methodology
          Mathematical models
          Population forecasting
          Sociology
      ab: In this article, we analyze empirical B ayes (EB) methods for estimating small-area rate schedules. We develop EB methods that treat schedules as vectors and use adaptive neighborhoods to keep estimates appropriately local. This method estimates demographic rates for local subpopulations by borrowing strength not only from similar individuals elsewhere but also from other groups in the same area and from regularities in schedules across locations. EB is substantially better than standard methods when rates have strong spatial and age patterns. We illustrate this method with estimates of age-specific fertility schedules for over 3,800 Brazilian municipalities. Reprinted by permission of the publisher.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N