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Post-high school choices: New evidence from a multinomial logit model

Author

Listed:
  • Anh Ngoc Nguyen
  • Jim Taylor

Abstract

A multinomial logit model is estimated to investigate the destination of students one-year after graduating from high school. The appropriate specification of the choice set available to high school leavers is as follows: private four-year college, public four-year college, private two-year college, public two-year college, employed and unemployed. We test for several possible combinations of these choices and find that these pooled models are all rejected in favour of the full model. The transition from high school to college and to work is more complex than previous studies have recognised. Copyright Springer-Verlag Berlin Heidelberg 2003

Suggested Citation

  • Anh Ngoc Nguyen & Jim Taylor, 2003. "Post-high school choices: New evidence from a multinomial logit model," Journal of Population Economics, Springer;European Society for Population Economics, vol. 16(2), pages 287-306, May.
    • Handle: RePEc:spr:jopoec:v:16:y:2003:i:2:p:287-306
    DOI: 10.1007/s001480300149
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    Citations

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    Cited by:

    1. D. Flannery & J. Cullinan, 2014. "Where they go, what they do and why it matters: the importance of geographic accessibility and social class for decisions relating to higher education institution type, degree level and field of study," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2952-2965, August.
    2. Stocké, Volker, 2007. "Strength, sources, and temporal development of primary effects of families' social status on secondary school choice," Papers 07-60, Sonderforschungsbreich 504.
    3. repec:lan:wpaper:4467 is not listed on IDEAS
    4. Stocké, Volker, 2007. "Strength, Sources, and Temporal Development of Primary Effects of Families´ Social Status on Secondary School Choice," Sonderforschungsbereich 504 Publications 07-60, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    5. Mike Smet, 2016. "Transition from secondary to higher education : a multilevel model for students graduating from technical and vocational secondary education," EcoMod2016 9256, EcoMod.
    6. repec:dau:papers:123456789/11242 is not listed on IDEAS
    7. Benjamin Balsmeier & Heiko Peters, 2008. "Family Background or the Characteristics of Children: What Determines High School Success in Germany?," SOEPpapers on Multidisciplinary Panel Data Research 138, DIW Berlin, The German Socio-Economic Panel (SOEP).
    8. Ansari, Ali H., 2020. "Cream skimming? Evaluating the access to Punjab’s public-private partnership programs in education," International Journal of Educational Development, Elsevier, vol. 72(C).
    9. Michele Lalla & Patrizio Frederic, 2020. "Tertiary education decisions of immigrants and non-immigrants in Italy: an empirical approach," Department of Economics 0168, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    10. Sørensen, Elise Stenholt & Høst, Anders Kamp, 2015. "Does distance determine who is in higher education?," MPRA Paper 74517, University Library of Munich, Germany.
    11. Gibbons, Stephen & Vignoles, Anna, 2009. "Access, choice and participation in higher education," LSE Research Online Documents on Economics 23656, London School of Economics and Political Science, LSE Library.
    12. NONNEMAN, Walter, 2012. "School achievement and failure of immigrant children in Flanders," Working Papers 2012008, University of Antwerp, Faculty of Business and Economics.
    13. Patrizio Frederic & Michele Lalla, 2024. "Lower-to-upper secondary school transition: a Bayesian Lasso approach in data modelling," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3133-3154, August.
    14. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
    15. Małgorzata Kłobuszewska & Magdalena Rokicka, 2016. "Do local characteristics matter? Secondary school track choice in Poland," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 45.
    16. Pastore, Francesco, 2005. "To Study or to Work? Education and Labour Market Participation of Young People in Poland," IZA Discussion Papers 1793, Institute of Labor Economics (IZA).
    17. Mike Smet & Barbara Janssens, 2014. "Determinants of the choice for professional teacher education programs: A multinomial multilevel approach," 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 41, pages 797-815, Asociación de Economía de la Educación.
    18. Anita Schiller & Aurelie Slechten, 2024. "Effect of natural resource extraction on school performance: Evidence from Texas," Working Papers 411897926, Lancaster University Management School, Economics Department.
    19. Nifo, Annamaria & Scalera, Domenico & Vecchione, Gaetano, 2016. "What do you want to be when you grow up? Local institutional quality and the choice of the fields of study in Italy (2004-2007)," MPRA Paper 69907, University Library of Munich, Germany.
    20. repec:lan:wpaper:4769 is not listed on IDEAS
    21. Hong il Yoo, 2012. "A new condition for pooling states in multinomial logit," Discussion Papers 2012-48, School of Economics, The University of New South Wales.

    More about this item

    Keywords

    JEL classification: I21; J24; Key words: School-to-work transition; college enrolment; human capital;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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