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Author: Taber, Jamie Rubenstein
Resulting in 1 citation.
1. Joyner, Kara
Peters, H. Elizabeth
Hynes, Kathryn
Sikora, Asia
Taber, Jamie Rubenstein
Rendall, Michael S.
The Quality of Male Fertility Data in Major U.S. Surveys
Demography 49,1 (February 2012): 101-124.
Cohort(s): NLSY79, NLSY97
Publisher: Population Association of America
Keyword(s): Census of Population; Data Quality/Consistency; Fathers; Fathers, Biological; Fertility; Methods/Methodology; Monte Carlo; National Survey of Family Growth (NSFG)

Permission to reprint the abstract has not been received from the publisher.

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.
Bibliography Citation
Joyner, Kara, H. Elizabeth Peters, Kathryn Hynes, Asia Sikora, Jamie Rubenstein Taber and Michael S. Rendall. "The Quality of Male Fertility Data in Major U.S. Surveys ." Demography 49,1 (February 2012): 101-124.