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The Impact of Attrition on the Children of the NLSY79

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  • Alison Aughinbaugh

Abstract

This paper examines the impact of attrition among the women of the National Longitudinal Survey of Youth 1979 (NLSY79) and children in the NLSY79 Mother-Child Supplement (NLSY79-C). Attrition among the children is nonrandom with respect to mother’s marital status, grandfather’ s completed schooling, and family income. These differences that are related to the probability of attrition do not appear to impact estimates of the effects of family income or maternal employment early in the child’s life on either PPVT or BPI standard scores. However, the women who are not interviewed in any child-supplement year and the children for whom supplemental information is never collected appear to be the most disadvantaged. The omission of these children from the NLSY79-C may impact estimates of family characteristics on child outcomes, but because there are relatively few such children, the effects of their omission are likely to be small.

Suggested Citation

  • Alison Aughinbaugh, 2004. "The Impact of Attrition on the Children of the NLSY79," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    • Handle: RePEc:uwp:jhriss:v:39:y:2004:i:2:p536-563
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    References listed on IDEAS

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    1. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of the Impact of Sample Attrition on the Second Generation of Respondents in the Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 300-344.
    2. Thomas MaCurdy & Thomas Mroz & R. Mark Gritz, 1998. "An Evaluation of the National Longitudinal Survey on Youth," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 345-436.
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    Cited by:

    1. David W. Johnston & Michael E. R. Nicholls & Manisha Shah & Michael A. Shields, 2013. "Handedness, health and cognitive development: evidence from children in the National Longitudinal Survey of Youth," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 841-860, October.
    2. Linus Andersson, 2020. "Oh half-brother, where art thou? The boundaries of full- and half-sibling interaction," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(16), pages 431-460.
    3. Lídia Farré & Francis Vella, 2013. "The Intergenerational Transmission of Gender Role Attitudes and its Implications for Female Labour Force Participation," Economica, London School of Economics and Political Science, vol. 80(318), pages 219-247, April.
    4. Michael D. Bates & Leslie E. Papke & Jeffrey M. Wooldridge, 2024. "Non linear correlated random effects models with endogeneity and unbalanced panels," Econometric Reviews, Taylor & Francis Journals, vol. 43(9), pages 713-732, October.
    5. Devon Gorry, 2023. "Consequences of Teenage Childbearing on Child Outcomes in the United States," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(1), pages 225-254, January.
    6. Durr-e-Nayab & G. M. Arif, 2012. "Pakistan Panel Household Survey Sample Size, Attrition and Socio-demographic Dynamics," Poverty and Social Dynamics Paper Series 2012:01, Pakistan Institute of Development Economics.
    7. Basu, Shubhashrita & Gorry, Devon, 2021. "Consequences of teenage childbearing on child health," Economics & Human Biology, Elsevier, vol. 42(C).
    8. Magali Mazuy & Nicolas Razafindratsima & Elise de la Rochebrochard, 2005. "Déperdition dans l'enquête "Intentions de fécondité"," Working Papers 129, Institut National d'Études Démographiques (INED).
    9. Alison Aughinbaugh & Charles Pierret & Donna Rothstein, 2005. "The impact of family structure transitions on youth achievement: Evidence from the children of the NlSY79," Demography, Springer;Population Association of America (PAA), vol. 42(3), pages 447-468, August.
    10. Durr-E-Nayab & G. M. Arif, 2014. "Pakistan Panel Household Survey: Sample Size and Attrition," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 53(2), pages 223-237.

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