Population Pyramids Yield Accurate Estimates of Total Fertility Rates.

The primary fertility index for a population, the total fertility rate (TFR), cannot be calculated for many areas and periods because it requires disaggregation of births by mother's age. Here we discuss a flexible framework for estimating TFR using inputs as minimal as a population pyramid. We deve...

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Publicado en:Demography (Springer Nature) Vol. 57; no. 1; pp. 221 - 242
Autores principales: Hauer, Mathew E., Schmertmann, Carl P.
Formato: journal article
Publicado: Springer Nature Feb2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2020
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      pub: Springer Nature
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        10.1007/s13524-019-00842-x
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        atl: Population Pyramids Yield Accurate Estimates of Total Fertility Rates.
      aug:
        au:
          Hauer, Mathew E.
          Schmertmann, Carl P.
        affil:
          Department of Sociology and Center for Demography and Population Health, Florida State University, 32306, Tallahassee, FL, USA
          Department of Economics and Center for Demography and Population Health, Florida State University, 32306, Tallahassee, FL, USA
      su:
        United States
        Fertility
        Human fertility
        Demographic surveys
        Maternal age
        Birth certificates
      sug:
        subj:
          Fertility
          Human fertility
          Demographic surveys
          United States
          Maternal age
          Birth certificates
      keyword:
        Bayesian models
        Indirect estimation
        Total fertility
        Bayesian models
        Indirect estimation
        Total fertility
      ab: The primary fertility index for a population, the total fertility rate (TFR), cannot be calculated for many areas and periods because it requires disaggregation of births by mother's age. Here we discuss a flexible framework for estimating TFR using inputs as minimal as a population pyramid. We develop five variants, each with increasing complexity and data requirements. We test accuracy across a diverse set of data sources that comprise more than 2,400 fertility schedules with known TFR values, including the Human Fertility Database, Demographic and Health Surveys, U.S. counties, and nonhuman species. We show that even the simplest and least accurate variant has a median error of only 0.09 births per woman over 2,400 fertility schedules, suggesting accurate TFR estimation over a wide range of demographic conditions. We anticipate that this framework will extend fertility analysis to new subpopulations, periods, geographies, and even species. To demonstrate the framework's utility in new applications, we produce subnational estimates of African fertility levels, reconstruct historical European TFRs for periods up to 150 years before the collection of detailed birth records, and estimate TFR for the United States conditional on race and household income.
      pubtype: Academic Journal
      doctype: journal article
      src: R
    language: English
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