IDEAS home Printed from https://ideas.repec.org/p/kud/kuieca/2009_05.html
   My bibliography  Save this paper

Selection Bias in Educational Transition Models: Theory and Empirical Evidence

Author

Listed:
  • Anders Holm

    (Department of Sociology, University of Copenhagen)

  • Mads Meier Jæger

    (Danish National Centre for Social Research, Copenhagen)

Abstract

Most studies which use Mare’s (1980, 1981) seminal model of educational transitions find that the effect of family background variables decreases across educational transitions. Cameron and Heckman (1998, 2001) have argued that this “waning coefficients” phenomenon might be driven by selection on unobserved variables. This paper, first, analyzes theoretically how selection on unobserved variables leads to waning coefficients and, second, illustrates empirically how selection affects estimates of the effect of family background variables on educational transitions. Our empirical analysis which uses data from the United States, United Kingdom, Denmark, and the Netherlands shows that the effect of family background variables on educational transitions is largely constant across transitions when we control for selection on unobserved variables. We also discuss the inherent difficulties in estimating educational transition models which deal effectively with selection on unobserved variables.

Suggested Citation

  • Anders Holm & Mads Meier Jæger, 2009. "Selection Bias in Educational Transition Models: Theory and Empirical Evidence," CAM Working Papers 2009-05, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
  • Handle: RePEc:kud:kuieca:2009_05
    as

    Download full text from publisher

    File URL: http://www.econ.ku.dk/cam/wp0910/2009-05.pdf/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American Males," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 262-333, April.
    2. Charles F. Manski, 1997. "Monotone Treatment Response," Econometrica, Econometric Society, vol. 65(6), pages 1311-1334, November.
    3. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 2-16, January.
    4. Robert Mare, 1979. "Social background composition and educational growth," Demography, Springer;Population Association of America (PAA), vol. 16(1), pages 55-71, February.
    5. Horowitz, Joel L. & Manski, Charles F., 1998. "Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations," Journal of Econometrics, Elsevier, vol. 84(1), pages 37-58, May.
    6. Mary Arends-Kuenning & Suzanne Duryea, 2006. "The Effect of Parental Presence, Parents’ Education, and Household Headship on Adolescents’ Schooling and Work in Latin America," Journal of Family and Economic Issues, Springer, vol. 27(2), pages 263-286, June.
    7. Anthony F. Heath & Peter Clifford, 1990. "Class Inequalities in Education in the Twentieth Century," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 153(1), pages 1-16, January.
    8. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
    9. Colding, Bjorg, 2006. "A dynamic analysis of educational progression of children of immigrants," Labour Economics, Elsevier, vol. 13(4), pages 479-492, August.
    10. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts," NBER Working Papers 6385, National Bureau of Economic Research, Inc.
    11. Arnaud Chevalier & Gauthier Lanot, 2002. "The Relative Effect of Family Characteristics and Financial Situation on Educational Achievement," Education Economics, Taylor & Francis Journals, vol. 10(2), pages 165-181.
    12. Stephen V. Cameron & James J. Heckman, 2001. "The Dynamics of Educational Attainment for Black, Hispanic, and White Males," Journal of Political Economy, University of Chicago Press, vol. 109(3), pages 455-499, June.
    13. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 27-28, January.
    14. Lauer, Charlotte, 2003. "Family background, cohort and education: A French-German comparison based on a multivariate ordered probit model of educational attainment," Labour Economics, Elsevier, vol. 10(2), pages 231-251, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kaitlin Anderson & Gema Zamarro & Jennifer Steele & Trey Miller, 2021. "Comparing Performance of Methods to Deal With Differential Attrition in Randomized Experimental Evaluations," Evaluation Review, , vol. 45(1-2), pages 70-104, February.
    2. Leslie S. Stratton & Nabanita Datta Gupta & David Reimer & Anders Holm, 2017. "Modeling Enrollment in and Completion of Vocational Education: The Role of Cognitive and Non-cognitive Skills by Program Type," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20172, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    3. Zakir Husain & Swagata Sarkar, 2011. "Gender Disparities in Educational Trajectories in India: Do Females Become More Robust at Higher Levels?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 101(1), pages 37-56, March.
    4. Stratton Leslie S. & Datta Gupta Nabanita & Reimer David & Holm Anders, 2018. "Modeling Completion of Vocational Education: The Role of Cognitive and Noncognitive Skills by Program Type," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 18(4), pages 1-17, October.

    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. Biewen, Martin & Tapalaga, Madalina, 2017. "Life-cycle educational choices in a system with early tracking and ‘second chance’ options," Economics of Education Review, Elsevier, vol. 56(C), pages 80-94.
    2. Antonio Di Paolo, 2012. "Parental Education And Family Characteristics: Educational Opportunities Across Cohorts In Italy And Spain," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 20(1), pages 119-146, Spring.
    3. Biewen, Martin & Tapalaga, Madalina, 2016. "Life-Cycle Educational Choices: Evidence for Two German Cohorts," IZA Discussion Papers 9699, Institute of Labor Economics (IZA).
    4. Christian N. Brinch & Bernt Bratsberg & Oddbjørn Raaum, 2012. "The effects of an upper secondary education reform on the attainment of immigrant youth," Education Economics, Taylor & Francis Journals, vol. 20(5), pages 447-473, January.
    5. Zakir Husain & Swagata Sarkar, 2011. "Gender Disparities in Educational Trajectories in India: Do Females Become More Robust at Higher Levels?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 101(1), pages 37-56, March.
    6. Bratti, Massimiliano & Mendola, Mariapia, 2014. "Parental health and child schooling," Journal of Health Economics, Elsevier, vol. 35(C), pages 94-108.
    7. Leslie S. Stratton & Nabanita Datta Gupta & David Reimer & Anders Holm, 2017. "Modeling Enrollment in and Completion of Vocational Education: The Role of Cognitive and Non-cognitive Skills by Program Type," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20172, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    8. Luciana Méndez-Errico & Xavier Ramos, 2022. "Selection and educational attainment: why some children are left behind? Evidence from a middle-income country," Education Economics, Taylor & Francis Journals, vol. 30(6), pages 624-643, November.
    9. Massimiliano BRATTI, 2002. "Parents' Current Income, Long-term Characteristics and Children's Education: Evidence from the 1970 British Cohort," Working Papers 174, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    10. Heineck Guido & Riphahn Regina T., 2009. "Intergenerational Transmission of Educational Attainment in Germany – The Last Five Decades," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(1), pages 36-60, February.
    11. Mary Arends-Kuenning & Suzanne Duryea, 2006. "The Effect of Parental Presence, Parents’ Education, and Household Headship on Adolescents’ Schooling and Work in Latin America," Journal of Family and Economic Issues, Springer, vol. 27(2), pages 263-286, June.
    12. Javier Valbuena, 2011. "Family background, gender and cohort effects on schooling decisions," Investigaciones de Economía de la Educación volume 6, in: Antonio Caparrós Ruiz (ed.), Investigaciones de Economía de la Educación 6, edition 1, volume 6, chapter 15, pages 258-290, Asociación de Economía de la Educación.
    13. Baert, Stijn & Cockx, Bart, 2013. "Pure ethnic gaps in educational attainment and school to work transitions: When do they arise?," Economics of Education Review, Elsevier, vol. 36(C), pages 276-294.
    14. Massimiliano Bratti & Mendola, M., 2013. "GINI DP 63: Parental Health and Child Schooling!," GINI Discussion Papers 63, AIAS, Amsterdam Institute for Advanced Labour Studies.
    15. Carlos Giovanni González Espitia & Jhon James Mora Rodriguez & Andres Felipe Cuadros Meñaca, 2014. "Características familiares y oportunidades educativas en Colombia: Un análisis por cohortes," Investigaciones de Economía de la Educación volume 9, in: Adela García Aracil & Isabel Neira Gómez (ed.), Investigaciones de Economía de la Educación 9, edition 1, volume 9, chapter 5, pages 143-158, Asociación de Economía de la Educación.
    16. Lofstrom, Magnus, 2007. "Why Are Hispanic and African-American Dropout Rates So High?," IZA Discussion Papers 3265, Institute of Labor Economics (IZA).
    17. Carlos Giovanni González Espitia & Jhon James Mora Rodríguez & Andrés Felipe Cuadros Meñaca, 2014. "Oportunidades educativas y características familiares en Colombia: un análisis por cohortes," Revista de Economía del Rosario, Universidad del Rosario, June.
    18. Massimiliano Bratti, 2007. "Parents’ income and children’s school drop-out at 16 in England and Wales: evidence from the 1970 British Cohort Study," Review of Economics of the Household, Springer, vol. 5(1), pages 15-40, March.
    19. Regina Riphahn & Florian Schieferdecker, 2012. "The transition to tertiary education and parental background over time," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(2), pages 635-675, January.
    20. Arnaud Chevalier & Colm Harmon & Vincent O’ Sullivan & Ian Walker, 2013. "The impact of parental income and education on the schooling of their children," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-22, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:kud:kuieca:2009_05. 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: Thomas Hoffmann (email available below). General contact details of provider: https://edirc.repec.org/data/camkudk.html .

    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.