The Quality of Male Fertility Data in Major U.S. Surveys.

Researchers continue to question fathers' willingness to report their biological children in surveys and the ability of surveys to adequately represent fathers. To address these concerns, this study evaluates the quality of men's fertility data in the 1979 and 1997 cohorts of the National Longitudin...

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Publicado en:Demography (Springer Nature) Vol. 49; no. 1; pp. 101 - 125
Autores principales: Joyner, Kara, Peters, H., Hynes, Kathryn, Sikora, Asia, Taber, Jamie, Rendall, Michael
Formato: Artículo
Publicado: Springer Nature Feb2012
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Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        au:
          Joyner, Kara
          Peters, H.
          Hynes, Kathryn
          Sikora, Asia
          Taber, Jamie
          Rendall, Michael
        affil:
          Department of Sociology, Bowling Green State University, 237 Williams Hall Bowling Green 43403 USA
          Human Development and Family Studies, The Pennsylvania State University, University Park USA
          Health Promotion, Social & Behavioral Health, University of Nebraska Medical Center, Omaha USA
          Department of Economics, Cornell University, Ithaca USA
      su:
        United States
        Fathers
        Fertility
        Data quality
        Surveys
        Fatherhood -- Social aspects
        Monte Carlo method
      sug:
        subj:
          Fathers
          Fertility
          United States
          Data quality
          Surveys
          Fatherhood -- Social aspects
          Monte Carlo method
      keyword:
        Early fatherhood
        Male fertility
        Early fatherhood
        Male fertility
      ab: Researchers continue to question fathers' willingness to report their biological children in surveys and the ability of surveys to adequately represent fathers. To address these concerns, this study evaluates the quality of men's fertility data in the 1979 and 1997 cohorts of the National Longitudinal Survey of Youth (NLSY79 and NLSY97) and in the 2002 National Survey of Family Growth (NSFG). Comparing fertility rates in each survey with population rates based on data from Vital Statistics and the U.S. Census Bureau, we document how the incomplete reporting of births in different surveys varies according to men's characteristics, including their age, race, marital status, and birth cohort. In addition, we use Monte Carlo simulations based on the NSFG data to demonstrate how birth underreporting biases associations between early parenthood and its antecedents. We find that in the NSFG, roughly four out of five early births were reported; but in the NLSY79 and NLSY97, almost nine-tenths of early births were reported. In all three surveys, incomplete reporting was especially pronounced for nonmarital births. Our results suggest that the quality of male fertility data is strongly linked to survey design and that it has implications for models of early male fertility.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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