A mixture model for duration data: analysis of second births in China.

The writers present a mixture model in which logistic regression and piecewise proportional hazards models are combined for analysis of duration data. They state that the model permits simultaneous estimation of two sets of effects of covariates—one of the probability of an event and the other of t...

Descripción completa

Detalles Bibliográficos
Publicado en:Demography Vol. 34; pp. 189 - 198
Autores principales: Li, Lei, Choe, Minja Kim
Formato: Artículo
Publicado: Springer Science & Business Media B.V. May 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=510827841&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 510827841
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00703370
        DEM
      jtl: Demography
      issn: 00703370
      maglogo: N
    pubinfo:
      dt: May 1997
      vid: 34
      pid: 237
      pub: Springer Science & Business Media B.V.
    artinfo:
      ui:
        510827841
        10.2307/2061698
      ppf: 189
      ppct: 9
      formats:
        fmt:
          @attributes:
            type: T
      tig:
        atl: A mixture model for duration data: analysis of second births in China.
      aug:
        au:
          Li, Lei
          Choe, Minja Kim
      su:
        Estimation theory
        Regression analysis
        Proportional hazards models
        Regional differences
        Birth intervals
        Mathematical models
        Birth control
        China
      sug:
        subj:
          China
          Estimation theory
          Regression analysis
          Proportional hazards models
          Regional differences
          Birth intervals
          Mathematical models
          Birth control
      ab: The writers present a mixture model in which logistic regression and piecewise proportional hazards models are combined for analysis of duration data. They state that the model permits simultaneous estimation of two sets of effects of covariates—one of the probability of an event and the other of the timing of that event. They demonstrate the application of the model by means of an investigation of the effects of women's characteristics and of the acceptance of a one-child certificate on the birth of second children in China. Their analysis indicates that both factors influence the probability of having a second child but that only the acceptance of a one-child certificate has a significant and strong impact on the second-birth interval.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N