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A Second Chance at Education for Early School Leavers

Author

Listed:
  • Cain Polidano

    () (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Domenico Tabasso

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Yi-Ping Tseng

    () (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

Abstract

Despite efforts to engage youth in education, there have been only modest improvements in the rates of school completion across OECD countries since the mid- 1990s. These modest improvements underline the importance of programs that encourage early school leavers to return to post-school education. The objective of this paper is to better understand the factors that affect the chances of re-engaging early school leavers in education, with a particular focus on the importance of time out from school (duration dependence) and school-related factors. Using data from three cohorts of the Longitudinal Survey of Australian Youth and duration models that control for unobserved heterogeneity, our results suggest that programs that encourage an early return to study and programs that develop post-school career plans may be more effective than programs that concentrate on improving numeracy and literacy scores.

Suggested Citation

  • Cain Polidano & Domenico Tabasso & Yi-Ping Tseng, 2012. "A Second Chance at Education for Early School Leavers," Melbourne Institute Working Paper Series wp2012n14, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2012n14
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    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2012n14.pdf
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    References listed on IDEAS

    as
    1. Nicoletti, Cheti & Rondinelli, Concetta, 2010. "The (mis)specification of discrete duration models with unobserved heterogeneity: A Monte Carlo study," Journal of Econometrics, Elsevier, vol. 159(1), pages 1-13, November.
    2. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    3. Meyer, Bruce D, 1990. "Unemployment Insurance and Unemployment Spells," Econometrica, Econometric Society, vol. 58(4), pages 757-782, July.
    4. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," Journal of Political Economy, University of Chicago Press, vol. 70, pages 1-9.
    5. Bishop, John H. & Mane, Ferran, 2004. "The impacts of career-technical education on high school labor market success," Economics of Education Review, Elsevier, vol. 23(4), pages 381-402, August.
    6. Jenkins, Stephen P, 1995. "Easy Estimation Methods for Discrete-Time Duration Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(1), pages 129-138, February.
    7. Dolton, Peter J & van der Klaauw, Wilbert, 1995. "Leaving Teaching in the UK: A Duration Analysis," Economic Journal, Royal Economic Society, vol. 105(429), pages 431-444, March.
    8. David Black & Cain Polidano & Yi-Ping Tseng, 2012. "The Re-engagement in Education of Early School Leavers," Economic Papers, The Economic Society of Australia, vol. 31(2), pages 202-215, June.
    9. Hill, Laura E. & Jepsen, Christopher, 2007. "Positive outcomes from poor starts: Predictors of dropping back in," Economics of Education Review, Elsevier, vol. 26(5), pages 588-603, October.
    10. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-956, July.
    11. Han, Aaron & Hausman, Jerry A, 1990. "Flexible Parametric Estimation of Duration and Competing Risk Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(1), pages 1-28, January-M.
    12. Rumberger, Russell W. & Lamb, Stephen P., 2003. "The early employment and further education experiences of high school dropouts: a comparative study of the United States and Australia," Economics of Education Review, Elsevier, vol. 22(4), pages 353-366, August.
    13. Yona Rubinstein & James J. Heckman, 2001. "The Importance of Noncognitive Skills: Lessons from the GED Testing Program," American Economic Review, American Economic Association, vol. 91(2), pages 145-149, May.
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    Cited by:

    1. repec:eee:ecoedu:v:64:y:2018:i:c:p:282-297 is not listed on IDEAS
    2. Cain Polidano & Chris Ryan, 2016. "What Happens to Students with Low Reading Proficiency at 15? Evidence from Australia," Melbourne Institute Working Paper Series wp2016n33, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    3. Cain Polidano & Barbara Hanel & Hielke Buddelmeyer, 2012. "Explaining the SES School Completion Gap," Melbourne Institute Working Paper Series wp2012n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    4. Cain Polidano & Chris Ryan, 2016. "Long-Term Outcomes from Australian Vocational Education," Melbourne Institute Working Paper Series wp2016n35, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    More about this item

    Keywords

    educational economics; demand for schooling; human capital.;

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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