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School-to-Career Programs and Transitions to Employment and Higher Education

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  • David Neumark
  • Donna Rothstein

Abstract

The 1994 Federal School-to-Work Opportunities Act (STWOA) provided more than $1.5 billion over five years to support increased career preparation activities in the country's public schools. However, the STWOA was not re-authorized, so state governments face decisions about levels of funding support for school-to-career (STC) programs. Coupled with the availability of a new longitudinal data source with rich information on STC programs the 1997 National Longitudinal Survey of Youth (NLSY97) it is therefore an opportune time to study the effectiveness of STC programs. This paper uses the NLSY97 to assess the effects of STC programs on transitions to employment and higher education among youths leaving high school, with a focus on estimating the causal effects of this participation given possible non-random selection of youths into STC programs.

Suggested Citation

  • David Neumark & Donna Rothstein, 2003. "School-to-Career Programs and Transitions to Employment and Higher Education," NBER Working Papers 10060, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:10060
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    References listed on IDEAS

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    1. David Neumark, 1998. "Youth Labor Markets in the U.S.: Shopping Around vs. Staying Put," NBER Working Papers 6581, National Bureau of Economic Research, Inc.
    2. 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.
    3. Card, David & Krueger, Alan B, 1992. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 1-40, February.
    4. David Neumark & Mary Joyce, 2001. "Evaluating School-to-Work Programs Using the New NLSY," Journal of Human Resources, University of Wisconsin Press, vol. 36(4), pages 666-702.
    5. James Heckman & Neil Hohmann & Jeffrey Smith & Michael Khoo, 2000. "Substitution and Dropout Bias in Social Experiments: A Study of an Influential Social Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 651-694.
    6. 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.
    7. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    8. repec:mpr:mprres:2675 is not listed on IDEAS
    9. Robert H. Topel & Michael P. Ward, 1992. "Job Mobility and the Careers of Young Men," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 439-479.
    10. 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.
    11. 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.
    12. Debra Donahoe & Marta Tienda, 1999. "Human Asset Development and the Transition from School to Work: Policy Lessons for the 21st Century," Working Papers 322, Princeton University, Woodrow Wilson School of Public and International Affairs, Office of Population Research..
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    Cited by:

    1. Bonilla, Sade, 2020. "The dropout effects of career pathways: Evidence from California," Economics of Education Review, Elsevier, vol. 75(C).
    2. Alet, Elodie & Bonnal, Liliane, 2011. "Vocational schooling and educational success: comparing apprenticeship to full-time vocational high-school," TSE Working Papers 27239, Toulouse School of Economics (TSE).
    3. Frank Furstenberg & David Neumark, 2004. "School-to-Career and Post-Secondary Education: Evidence from Philadelphia Educational Longitudinal Study," PPIC Working Papers 2004.14, Public Policy Institute of California.
    4. Shaun M. Dougherty, 2018. "The Effect of Career and Technical Education on Human Capital Accumulation: Causal Evidence from Massachusetts," Education Finance and Policy, MIT Press, vol. 13(2), pages 119-148, Spring.
    5. Clemens Noelke & Daniel Horn, 2011. "Social Transformation and the Transition from Vocational Education to Work," Budapest Working Papers on the Labour Market 1105, Institute of Economics, Centre for Economic and Regional Studies.
    6. Fitzenberger Bernd & Hillerich-Sigg Annette & Sprietsma Maresa, 2020. "Different counselors, many options: Career guidance and career plans in secondary schools," German Economic Review, De Gruyter, vol. 21(1), pages 65-106, April.
    7. Steve Machin & Sandra McNally & Camille Terrier & Guglielmo Ventura, 2020. "Closing the Gap between Vocational and General Education? Evidence from University Technical Colleges in England," CESifo Working Paper Series 8678, CESifo.
    8. Eric Brunner & Shaun Dougherty & Stephen Ross, 2019. "The Effects of Career and Technical Education: Evidence from the Connecticut Technical High School System," Working Papers 2019-047, Human Capital and Economic Opportunity Working Group.
    9. David Neumark & Donna Rothstein, 2004. "Do School-to-Work Programs Help the "Forgotten Half"?," PPIC Working Papers 2004.16, Public Policy Institute of California.
    10. Marianne Bertrand & Magne Mogstad & Jack Mountjoy, 2021. "Improving Educational Pathways to Social Mobility: Evidence from Norway’s Reform 94," Journal of Labor Economics, University of Chicago Press, vol. 39(4), pages 965-1010.
    11. Brown, Sarah & Ortiz-Nuñez, Aurora & Taylor, Karl, 2011. "What will I be when I grow up? An analysis of childhood expectations and career outcomes," Economics of Education Review, Elsevier, vol. 30(3), pages 493-506, June.
    12. Pauline Domingo, 2007. "Travail en cours d'études, échec et insertion professionnelle : le cas des DEUG non diplômés," Documents de travail du Centre d'Economie de la Sorbonne r07007, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    13. Pauline Domingo, 2007. "Travail en cours d'études, échec et insertion professionnelle : le cas des DEUG non diplômés," Post-Print halshs-00144366, HAL.
    14. Pema, Elda & Mehay, Stephen, 2012. "Career effects of occupation-related vocational education: Evidence from the military's internal labor market," Economics of Education Review, Elsevier, vol. 31(5), pages 680-693.
    15. Daniel Kreisman & Kevin Stange, 2020. "Vocational and Career Tech Education in American High Schools: The Value of Depth Over Breadth," Education Finance and Policy, MIT Press, vol. 15(1), pages 11-44, Winter.
    16. 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.
    17. Hemelt, Steven W. & Lenard, Matthew A. & Paeplow, Colleen G., 2019. "Building bridges to life after high school: Contemporary career academies and student outcomes," Economics of Education Review, Elsevier, vol. 68(C), pages 161-178.
    18. Miller, Luke C. & Mittleman, Joel, 2012. "High Schools That Work and college preparedness: Measuring the model's impact on mathematics and science pipeline progression," Economics of Education Review, Elsevier, vol. 31(6), pages 1116-1135.

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    More about this item

    JEL classification:

    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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