IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v25y2006i4p394-411.html
   My bibliography  Save this article

Smoothing the transition to college? The effect of Tech-Prep programs on educational attainment

Author

Listed:
  • Cellini, Stephanie Riegg

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecoedu:v:25:y:2006:i:4:p:394-411
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272-7757(06)00031-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Neumark, David, 1999. "Biases in twin estimates of the return to schooling," Economics of Education Review, Elsevier, vol. 18(2), pages 143-148, April.
    2. Freeman, Richard B, 1984. "Longitudinal Analyses of the Effects of Trade Unions," Journal of Labor Economics, University of Chicago Press, vol. 2(1), pages 1-26, January.
    3. Cullen, Julie Berry & Jacob, Brian A. & Levitt, Steven D., 2005. "The impact of school choice on student outcomes: an analysis of the Chicago Public Schools," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 729-760, June.
    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. Cameron, Stephen V & Heckman, James J, 1993. "The Nonequivalence of High School Equivalents," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 1-47, January.
    6. Bound, John & Solon, Gary, 1999. "Double trouble: on the value of twins-based estimation of the return to schooling," Economics of Education Review, Elsevier, vol. 18(2), pages 169-182, April.
    7. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    8. Currie, Janet & Thomas, Duncan, 1995. "Does Head Start Make a Difference?," American Economic Review, American Economic Association, vol. 85(3), pages 341-364, June.
    9. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
    10. Alan Hershey & Marsha K. Silverberg & Tom Owens & Lara Hulsey, 1998. "Focus for the Future: The Final Report of the National Tech-Prep Evaluation," Mathematica Policy Research Reports e52d7ed98a9d4545b11cb8987, Mathematica Policy Research.
    11. repec:mpr:mprres:1890 is not listed on IDEAS
    12. David Neumark & Mary Joyce, 2000. "An Introduction to School-To-Work Programs in the NLSY97: How Prevalent are They, and Which Youths do They Serve?," NBER Working Papers 7733, National Bureau of Economic Research, Inc.
    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. Bonilla, Sade, 2020. "The dropout effects of career pathways: Evidence from California," Economics of Education Review, Elsevier, vol. 75(C).
    2. Machin, Stephen & McNally, Sandra & Terrier, Camille & Ventura, Guglielmo, 2020. "Closing the Gap between Vocational and General Education? Evidence from University Technical Colleges in England," IZA Discussion Papers 13837, Institute of Labor Economics (IZA).
    3. 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.
    4. 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.
    5. 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.
    6. Cowan, James & Goldhaber, Dan & Holzer, Harry J. & Naito, Natsumi & Xu, Zeyu, 2020. "Career and Technical Education in High School and Postsecondary Career Pathways in Washington State," IZA Discussion Papers 13817, Institute of Labor Economics (IZA).
    7. 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.
    8. 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.
    9. Julie Berry Cullen & Steven D. Levitt & Erin Robertson & Sally Sadoff, 2013. "What Can Be Done to Improve Struggling High Schools?," Journal of Economic Perspectives, American Economic Association, vol. 27(2), pages 133-152, Spring.

    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. Gunnar Isacsson, 2004. "Estimating the economic return to educational levels using data on twins," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 99-119.
    2. Chong Huang & Hongbin Li & Pak Wai Liu & Junsen Zhang, 2009. "Why Does Spousal Education Matter for Earnings? Assortative Mating and Cross-Productivity," Journal of Labor Economics, University of Chicago Press, vol. 27(4), pages 633-652, October.
    3. Polachek, Solomon W., 2008. "Earnings Over the Life Cycle: The Mincer Earnings Function and Its Applications," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(3), pages 165-272, April.
    4. Böhlmark, Anders, 2008. "Age at immigration and school performance: A siblings analysis using swedish register data," Labour Economics, Elsevier, vol. 15(6), pages 1366-1387, December.
    5. Lång, Elisabeth & Nystedt, Paul, 2016. "Learning For Life? The Effects of Schooling on Earnings and Health- Related Behavior Over the Life Cycle," LiU Working Papers in Economics 4, Linköping University, Division of Economics, Department of Management and Engineering.
    6. Krashinsky, Harry, 2011. "Urban agglomeration, wages and selection: Evidence from samples of siblings," Labour Economics, Elsevier, vol. 18(1), pages 79-92, January.
    7. Guo, Rufei & Lin, Lin & Yi, Junjian & Zhang, Junsen, 2020. "The cross-spousal effect of education on health," Journal of Development Economics, Elsevier, vol. 146(C).
    8. Raaum,O. & Aabo,T.E., 1999. "The effect of schooling on earnings : the role of family background studied by a large sample of Norwegian twins," Memorandum 16/1999, Oslo University, Department of Economics.
    9. Dorothe Bonjour & Lynn F. Cherkas & Jonathan E. Haskel & Denise D. Hawkes & Tim D. Spector, 2003. "Returns to Education: Evidence from U.K. Twins," American Economic Review, American Economic Association, vol. 93(5), pages 1799-1812, December.
    10. Pınar Mine Güneş, 2016. "The effects of teenage childbearing on long-term health in the US: a twin-fixed-effects approach," Review of Economics of the Household, Springer, vol. 14(4), pages 891-920, December.
    11. Bhuller, Manudeep & Mogstad, Magne & Salvanes, Kjell G., 2011. "Life-Cycle Bias and the Returns to Schooling in Current and Lifetime Earnings," IZA Discussion Papers 5788, Institute of Labor Economics (IZA).
    12. Serneels, Pieter & Beegle, Kathleen & Dillon, Andrew, 2017. "Do returns to education depend on how and whom you ask?," Economics of Education Review, Elsevier, vol. 60(C), pages 5-19.
    13. Will Dobbie & Roland G. Fryer, Jr, 2009. "Are High Quality Schools Enough to Close the Achievement Gap? Evidence from a Social Experiment in Harlem," NBER Working Papers 15473, National Bureau of Economic Research, Inc.
    14. Harry A. Krashinsky, 2004. "Do Marital Status and Computer Usage Really Change the Wage Structure?," Journal of Human Resources, University of Wisconsin Press, vol. 39(3).
    15. John Giles & Albert Park & Meiyan Wang, 2019. "The Great Proletarian Cultural Revolution, Disruptions to Education, and the Returns to Schooling in Urban China," Economic Development and Cultural Change, University of Chicago Press, vol. 68(1), pages 131-164.
    16. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    17. Petter Lundborg & Anton Nilsson & Dan-Olof Rooth, 2016. "The health-schooling relationship: evidence from Swedish twins," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(4), pages 1191-1215, October.
    18. Nicholas W. Papageorge & Seth Gershenson & Kyung Min Kang, 2020. "Teacher Expectations Matter," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 234-251, May.
    19. Sandewall, Örjan & Cesarini, David & Johannesson, Magnus, 2014. "The co-twin methodology and returns to schooling — testing a critical assumption," Labour Economics, Elsevier, vol. 26(C), pages 1-10.
    20. Hongbin Li & PakWai Liu & Junsen Zhang & Ning Ma, 2007. "Economic Returns to Communist Party Membership: Evidence From Urban Chinese Twins," Economic Journal, Royal Economic Society, vol. 117(523), pages 1504-1520, October.

    More about this item

    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:eee:ecoedu:v:25:y:2006:i:4:p:394-411. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    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.