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Survey Attrition and Schooling Choices

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  • Evangelos M. Falaris
  • H. Elizabeth Peters
Abstract
We use data from three cohorts of the National Longitudinal Surveys of Labor Market Experience and from the Panel Study of Income Dynamics to study the effect of survey attrition on estimates of statistical models of schooling choices. We estimate regressions using data on people who always respond to the surveys (stayers) and on people who miss some surveys (attritors) and test whether the same statistical model describes the behavior of stayers and attritors. In general (with a few exceptions) we find that attrition either has no effect on the regression estimates or only affects the estimates of the intercept (and sometimes the coefficients of birth year dummies) and does not affect estimates of family background slope coefficients.

Suggested Citation

  • Evangelos M. Falaris & H. Elizabeth Peters, 1998. "Survey Attrition and Schooling Choices," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 531-554.
    • Handle: RePEc:uwp:jhriss:v:33:y:1998:i:2:p:531-554
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    Cited by:

    1. Li-Chung Hu, 2021. "Marital Status and Self-Rated Health in China: A Longitudinal Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(3), pages 499-531, June.
    2. David Neumark & Donna Rothstein, 2004. "Do School-to-Work Programs Help the "Forgotten Half"?," PPIC Working Papers 2004.16, Public Policy Institute of California.
    3. Harold Alderman & Jere Behrman & Hans-Peter Kohler & John A. Maluccio & Susan Watkins, 2001. "Attrition in Longitudinal Household Survey Data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 5(4), pages 79-124.
    4. I. Ku & R. D. Plotnick, "undated". "Do Children from Welfare Families Obtain Less Education?," Institute for Research on Poverty Discussion Papers 1217-00, University of Wisconsin Institute for Research on Poverty.
    5. Alderman, Harold & Behrman, Jere R. & Kohler, Hans-Peter & Maluccio, John A. & Cotts Watkins, Susan, 2000. "Attrition in longitudinal household survey data - some tests for three developing-country samples," Policy Research Working Paper Series 2447, The World Bank.
    6. Nicola Branson & Murray Leibbrandt, 2017. "Assessing the usability of the Western Cape Graduate Destination Survey for the analysis of labour market outcomes," SALDRU Working Papers 198, Southern Africa Labour and Development Research Unit, University of Cape Town.
    7. Shin, Jaeun & Moon, Sangho, 2006. "Fertility, relative wages, and labor market decisions: A case of female teachers," Economics of Education Review, Elsevier, vol. 25(6), pages 591-604, December.
    8. Neumark, David & Rothstein, Donna, 2006. "School-to-career programs and transitions to employment and higher education," Economics of Education Review, Elsevier, vol. 25(4), pages 374-393, August.
    9. 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.
    10. Gouskova, Elena, 2014. "Parameter estimates comparison of earnings functions in the PSID and CPS data, 1976–2007," Economics Letters, Elsevier, vol. 122(2), pages 353-357.
    11. David Neumark & Daiji Kawaguchi, 2001. "Attrition Bias in Economic Relationships Estimated with Matched CPS Files," NBER Working Papers 8663, National Bureau of Economic Research, Inc.
    12. Frethey-Bentham, Catherine, 2011. "Pseudo panels as an alternative study design," Australasian marketing journal, Elsevier, vol. 19(4), pages 281-292.
    13. Falaris, Evangelos M., 2003. "The effect of survey attrition in longitudinal surveys: evidence from Peru, Cote d'Ivoire and Vietnam," Journal of Development Economics, Elsevier, vol. 70(1), pages 133-157, February.
    14. Emmanouil Mentzakis & Paul McNamee & Mandy Ryan, 2009. "Who cares and how much: exploring the determinants of co-residential informal care," Review of Economics of the Household, Springer, vol. 7(3), pages 305-305, September.
    15. Kézdi, Gábor & Mátyás, László & Balázsi, László & Divényi, János Károly, 2014. "A közgazdasági adatforradalom és a panelökonometria [The revolution in economic data and panel econometrics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1319-1340.
    16. Xi Song, 2016. "Diverging Mobility Trajectories: Grandparent Effects on Educational Attainment in One- and Two-Parent Families in the United States," Demography, Springer;Population Association of America (PAA), vol. 53(6), pages 1905-1932, December.
    17. Daniel S. Hamermesh & Stephen G. Donald, 2004. "The Effect of College Curriculum on Earnings: Accounting for Non-Ignorable Non-Response Bias," NBER Working Papers 10809, National Bureau of Economic Research, Inc.
    18. Buonomo Zabaleta, Mariela, 2011. "The impact of child labor on schooling outcomes in Nicaragua," Economics of Education Review, Elsevier, vol. 30(6), pages 1527-1539.
    19. Vilma Ortiz & Estela Godinez Ballon, 2007. "Longitudinal Research at the Turn of the Century," Sociological Methods & Research, , vol. 36(1), pages 112-137, August.

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