IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/7719.html
   My bibliography  Save this paper

Evaluating School-To-Work Programs Using the New NLSY

Author

Listed:
  • David Neumark
  • Mary Joyce

Abstract

A critical impediment to research on school-to-work programs has been the absence of large representative data sets with information on such programs. In contrast, the new NLSY (NLSY97) offers researchers opportunities to analyze direct evidence on school-to-work programs. In the NLSY97, individuals are asked a set of survey questions about programs schools offer to help students prepare for the world of work,' and an accompanying survey includes information on school-to-work programs offered by schools attended by the interviewees. These data, coupled with observations on multiple individuals in the same schools, potentially allow researchers to estimate the effects of school-to-work programs on individuals while accounting for possible bias from selection into these programs, although apparent data problems pose some limitations. Because Round One of the NLSY97 covers workers only up to age 17, this paper focuses on the consequences of school-to-work programs for youth employment and schooling decisions while in high school, and students' subjective assessments of the likelihood of future schooling and work behavior. Overall, the evidence does not point to a causal effect of school-to-work program participation on behavior likely associated with future college attendance. On the other hand, school-to-work program participation does appear to have positive effects on educational attainment in terms of respondents' subjective probabilities of obtaining a high-school diploma. More in accordance with the traditional view of school-to-work programs, the data indicate that participation in these programs increases the perceived likelihood of future labor market activity, both for the year following the survey and at age 30. However, school-to-work programs do not appear to boost the probability of current employment.

Suggested Citation

  • David Neumark & Mary Joyce, 2000. "Evaluating School-To-Work Programs Using the New NLSY," NBER Working Papers 7719, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:7719
    Note: CH LS PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w7719.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. James Heckman, 1993. "Assessing Clinton's Program on Job Training, Workfare, and Education in the Workplace," NBER Working Papers 4428, National Bureau of Economic Research, Inc.
    4. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    5. Rosella Gardecki & David Neumark, 1998. "Order from Chaos? The Effects of Early Labor Market Experiences on Adult Labor Market Outcomes," ILR Review, Cornell University, ILR School, vol. 51(2), pages 299-322, January.
    6. 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.
    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. van Ours, Jan C. & Williams, Jenny & Ward, Shannon, 2015. "Bad Behavior: Delinquency, Arrest and Early School Leaving," CEPR Discussion Papers 10755, C.E.P.R. Discussion Papers.
    2. Charles L. Baum & Christopher J. Ruhm, 2016. "The Changing Benefits of Early Work Experience," Southern Economic Journal, John Wiley & Sons, vol. 83(2), pages 343-363, October.
    3. 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.
    4. Charlene Kalenkoski & Sabrina Pabilonia, 2010. "Parental transfers, student achievement, and the labor supply of college students," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(2), pages 469-496, March.
    5. Kalenkoski, Charlene Marie & Pabilonia, Sabrina Wulff, 2012. "Time to work or time to play: The effect of student employment on homework, sleep, and screen time," Labour Economics, Elsevier, vol. 19(2), pages 211-221.
    6. David Neumark & Donna Rothstein, 2004. "Do School-to-Work Programs Help the "Forgotten Half"?," PPIC Working Papers 2004.16, Public Policy Institute of California.
    7. Sabrina Wulff Pabilonia, 2017. "Teenagers’ risky health behaviors and time use during the great recession," Review of Economics of the Household, Springer, vol. 15(3), pages 945-964, September.
    8. Cellini, Stephanie Riegg, 2006. "Smoothing the transition to college? The effect of Tech-Prep programs on educational attainment," Economics of Education Review, Elsevier, vol. 25(4), pages 394-411, August.
    9. 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.
    10. 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.
    11. Boockmann, Bernhard & Nielen, Sebastian, 2016. "Mentoring disadvantaged youths during school-to-work transition: evidence from Germany," VfS Annual Conference 2016 (Augsburg): Demographic Change 145770, Verein für Socialpolitik / German Economic Association.
    12. Robert LaLonde & Daniel Sullivan, 2010. "Vocational Training," NBER Chapters, in: Targeting Investments in Children: Fighting Poverty When Resources Are Limited, pages 323-349, National Bureau of Economic Research, Inc.

    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. Tricia Lynn Gladden & Christopher R. Taber, 1999. "Wage Progression Among Less Skilled Workers," JCPR Working Papers 72, Northwestern University/University of Chicago Joint Center for Poverty Research.
    2. Philip Oreopoulos & Till von Wachter & Andrew Heisz, 2006. "The Short- and Long-Term Career Effects of Graduating in a Recession: Hysteresis and Heterogeneity in the Market for College Graduates," NBER Working Papers 12159, National Bureau of Economic Research, Inc.
    3. 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.
    4. James J. Heckman, 1991. "Randomization and Social Policy Evaluation Revisited," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc.
    5. Philip Jung & Moritz Kuhn, 2019. "Earnings Losses and Labor Mobility Over the Life Cycle," Journal of the European Economic Association, European Economic Association, vol. 17(3), pages 678-724.
    6. Michael Rusinek & François Rycx, 2013. "Rent-Sharing under Different Bargaining Regimes: Evidence from Linked Employer–Employee Data," British Journal of Industrial Relations, London School of Economics, vol. 51(1), pages 28-58, March.
    7. Daron Acemoglu & Jörn-Steffen Pischke, 1998. "Why Do Firms Train? Theory and Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(1), pages 79-119.
    8. Sherrie A. Kossoudji & Deborah A. Cobb-Clark, 2002. "Coming out of the Shadows: Learning about Legal Status and Wages from the Legalized Population," Journal of Labor Economics, University of Chicago Press, vol. 20(3), pages 598-628, July.
    9. Woodcock Simon D, 2010. "Heterogeneity and Learning in Labor Markets," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-69, September.
    10. Felli, Leonardo & Harris, Christopher, 2018. "Firm-specific training," Journal of Economic Theory, Elsevier, vol. 175(C), pages 585-623.
    11. Mittag, Nikolas, 2012. "New methods to estimate models with large sets of fixed effects with an application to matched employer-employee data from Germany," FDZ Methodenreport 201201_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. repec:iab:iabfme:201201(en is not listed on IDEAS
    13. John C. Ham & Xianghong Li & Patricia B. Reagan, 2004. "Propensity Score Matching, a Distance-Based Measure of Migration, and the Wage Growth of Young Men," Working Papers 2004_3, York University, Department of Economics.
    14. Jean-Marc Robin & Costas Meghir & Christian Dustmann & Jerome Adda, 2013. "Career Progression, Economic Downturns, and Skills," 2013 Meeting Papers 993, Society for Economic Dynamics.
    15. Hannes Schwandt & Till von Wachter, 2019. "Unlucky Cohorts: Estimating the Long-Term Effects of Entering the Labor Market in a Recession in Large Cross-Sectional Data Sets," Journal of Labor Economics, University of Chicago Press, vol. 37(S1), pages 161-198.
    16. Marco Caliendo & Ricarda Schmidl, 2016. "Youth unemployment and active labor market policies in Europe," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-30, December.
    17. Ham, John C. & Li, Xianghong & Reagan, Patricia B., 2011. "Matching and semi-parametric IV estimation, a distance-based measure of migration, and the wages of young men," Journal of Econometrics, Elsevier, vol. 161(2), pages 208-227, April.
    18. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    19. Burgess, Simon & Propper, Carol & Rees, Hedley & Shearer, Arran, 2003. "The class of 1981: the effects of early career unemployment on subsequent unemployment experiences," Labour Economics, Elsevier, vol. 10(3), pages 291-309, June.
    20. Adda & Dustmann, 2004. "Career Progression and Formal versus on the Job Training," Econometric Society 2004 North American Winter Meetings 492, Econometric Society.
    21. H. J. Holzer & R. J. LaLonde, "undated". "Job Change and Job Stability among Less-Skilled Young Workers," Institute for Research on Poverty Discussion Papers 1191-99, University of Wisconsin Institute for Research on Poverty.

    More about this item

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

    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:nbr:nberwo:7719. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.