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Erschienen in: Demography 1/2012

01.02.2012

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

verfasst von: Kara Joyner, H. Elizabeth Peters, Kathryn Hynes, Asia Sikora, Jamie Rubenstein Taber, Michael S. Rendall

Erschienen in: Demography | Ausgabe 1/2012

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Abstract

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.

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Fußnoten
1
Information on marital status in Vital Statistics data has varied across states and over time. The majority of states ask directly whether the mother was married “at birth, conception, or any time in between,” or alternatively, whether she was married to the father of the child. A few states determine marital status using inferential procedures. See Hamilton et al. (2007) and Ventura and Bachrach (2000) for greater detail on how marital status is measured in Vital Statistics.
 
2
We also used the hotdeck method to impute missing fathers’ ages. First, we stratified the birth certificate data by calendar year, mother’s age, and father’s race. Then, for each stratum (e.g., births to black fathers and 18-year-old mothers in 1980), we randomly selected ages of fathers reported on birth certificates to fill in the father’s age when it is missing. This alternative method of imputation produced estimates of the number of births to men that are close to those based on multivariate imputation.
 
3
To develop comparable measures of race for data from years 2000 and beyond, we bridged the responses of those who reported more than one race to a single race using the largest-group bridging method (NCHS 2004).
 
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Metadaten
Titel
The Quality of Male Fertility Data in Major U.S. Surveys
verfasst von
Kara Joyner
H. Elizabeth Peters
Kathryn Hynes
Asia Sikora
Jamie Rubenstein Taber
Michael S. Rendall
Publikationsdatum
01.02.2012
Verlag
Springer US
Erschienen in
Demography / Ausgabe 1/2012
Print ISSN: 0070-3370
Elektronische ISSN: 1533-7790
DOI
https://doi.org/10.1007/s13524-011-0073-9

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