IDEAS home Printed from https://ideas.repec.org/a/sae/evarev/v21y1997i5p554-567.html
   My bibliography  Save this article

Adjusting for Attrition in School-Based Samples

Author

Listed:
  • K.A. McGuigan

    (RAND)

  • P.L. Ellickson

    (RAND)

  • R.D. Hays

    (RAND)

  • R.M. Bell

    (RAND)

Abstract

Attrition in longitudinal studies can introduce nonresponse bias when estimating parameters. Methods to correct for nonresponse include survey-based approaches (tracking) as well as analytically based methods (weighting, sample selection modeling). Using data from a multi- wave school-based study of adolescents, substance use estimates are compared across methods. Methods are validated by simulating effects of attrition at baseline, and the relative efficiency of each approach with respect to a known "gold standard" is calculated. Results indicate that weighting may provide sufficient adjustment for nonresponse in other, similar studies. Sample selection modeling requires assumptions that are not met in this setting, and severe bias results. The high costs associated with full tracking efforts may be avoidable, as here we find that tracking was an inefficient approach for bias reduction .

Suggested Citation

  • K.A. McGuigan & P.L. Ellickson & R.D. Hays & R.M. Bell, 1997. "Adjusting for Attrition in School-Based Samples," Evaluation Review, , vol. 21(5), pages 554-567, October.
    • Handle: RePEc:sae:evarev:v:21:y:1997:i:5:p:554-567
    DOI: 10.1177/0193841X9702100502
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0193841X9702100502
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0193841X9702100502?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Manning, W. G. & Duan, N. & Rogers, W. H., 1987. "Monte Carlo evidence on the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 35(1), pages 59-82, May.
    2. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    3. Little, Roderick J A, 1985. "A Note about Models for Selectivity Bias," Econometrica, Econometric Society, vol. 53(6), pages 1469-1474, November.
    4. Pirie, P.L. & Murray, D.M. & Luepker, R.V., 1988. "Smoking prevalence in a cohort of adolescents, including absentees, dropouts, and transfers," American Journal of Public Health, American Public Health Association, vol. 78(2), pages 176-178.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    2. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.
    3. Saulo, Helton & Vila, Roberto & Cordeiro, Shayane S. & Leiva, Víctor, 2023. "Bivariate symmetric Heckman models and their characterization," Journal of Multivariate Analysis, Elsevier, vol. 193(C).
    4. Matloob Piracha & Stephane Mahuteau & Massimiliano Tani, 2010. "Selection Policy and Immigrants’ Remittance Behaviour," Studies in Economics 1003, School of Economics, University of Kent.
    5. Chen, Xiao & Huang, Bihong & Ye, Dezhu, 2020. "Gender gap in peer-to-peer lending: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 112(C).
    6. Maiga, Adam S., 2014. "Assessing self-selection and endogeneity issues in the relation between activity-based costing and performance," Advances in accounting, Elsevier, vol. 30(2), pages 251-262.
    7. Günther, Isabel & Launov, Andrey, 2006. "Competitive and Segmented Informal Labor Markets," IZA Discussion Papers 2349, Institute of Labor Economics (IZA).
    8. William Martin & Cong S. Pham, 2020. "Estimating the gravity model when zero trade flows are frequent and economically determined," Applied Economics, Taylor & Francis Journals, vol. 52(26), pages 2766-2779, May.
    9. Woo, Donghyup & Suresh, Nallan C., 2022. "Voluntary agreements for sustainability, resource efficiency & firm performance under the supply chain cooperation policy in South Korea," International Journal of Production Economics, Elsevier, vol. 252(C).
    10. Minna Genbäck & Elena Stanghellini & Xavier Luna, 2015. "Uncertainty intervals for regression parameters with non-ignorable missingness in the outcome," Statistical Papers, Springer, vol. 56(3), pages 829-847, August.
    11. Massimiliano Bratti & Abigail McKnight & Robin Naylor & Jeremy Smith, 2004. "Higher education outcomes, graduate employment and university performance indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(3), pages 475-496, August.
    12. Helton Saulo & Roberto Vila & Shayane S. Cordeiro, 2022. "Symmetric generalized Heckman models," Papers 2206.10054, arXiv.org.
    13. Polachek, Solomon W., 2008. "Earnings Over the Life Cycle: The Mincer Earnings Function and Its Applications," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(3), pages 165-272, April.
    14. Subhayu Bandyopadhyay & Cletus C. Coughlin, 2014. "Determinants of trade margins: insights using state export data," Working Papers 2014-6, Federal Reserve Bank of St. Louis.
    15. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    16. Gomez, Rafael & Tzioumis, Konstantinos, 2006. "What do unions do to executive compensation?," LSE Research Online Documents on Economics 19865, London School of Economics and Political Science, LSE Library.
    17. Jing Cheng & Dylan S. Small, 2021. "Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero," Biometrics, The International Biometric Society, vol. 77(4), pages 1187-1201, December.
    18. Kohei Enami & John Mullahy, 2009. "Tobit at fifty: a brief history of Tobin's remarkable estimator, of related empirical methods, and of limited dependent variable econometrics in health economics," Health Economics, John Wiley & Sons, Ltd., vol. 18(6), pages 619-628, June.
    19. Martijn van Hasselt, 2005. "Bayesian Sampling Algorithms for the Sample Selection and Two-Part Models," Computing in Economics and Finance 2005 241, Society for Computational Economics.
    20. Xavier de Luna & Mathias Lundin, 2014. "Sensitivity analysis of the unconfoundedness assumption with an application to an evaluation of college choice effects on earnings," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(8), pages 1767-1784, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:evarev:v:21:y:1997:i:5:p:554-567. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.