IDEAS home Printed from https://ideas.repec.org/p/hka/wpaper/2019-047.html
   My bibliography  Save this paper

The Effects of Career and Technical Education: Evidence from the Connecticut Technical High School System

Author

Listed:
  • Eric Brunner

    (University of Connecticut)

  • Shaun Dougherty

    (Vanderbilt University)

  • Stephen Ross

    (University of Connecticut)

Abstract

We examine the effect of admission to 16 stand-alone technical high schools within the Connecticut Technical High School System (CTHSS) on student educational and labor market outcomes. To identify the causal effect of admission on student outcomes, we exploit the fact that CTHSS utilizes a score-based admissions system and identify the effect of admission using a regression discontinuity approach. We find that male students attending one of the technical high schools are approximately 10 percentage points more likely to graduate from high school and 8 percentage points less likely to attend college, although there is some evidence that the negative effects on college attendance fade over time. We also find that male students attending a technical high school have quarterly earnings that are approximately 31% higher. Analyses of potential mechanisms behind these results reveal that male students that attend a technical high school have higher 9th grade attendance rates and higher 10th grade test scores. We find little evidence that attending a technical high school affects the educational or labor outcomes of women. These effects appear relatively broad based across different types of students in that we find little evidence of heterogeneity in these effects over student attributes like race and ethnicity, free lunch eligibility or residence in a poor, central city school district. However, when distinguishing between students based on the Career and Technical Education (CTE) offerings of the high school that these students likely would have attended, we find that the effects of admission to a CTHSS school are noticeably larger when the counterfactual high school has less CTE offerings.

Suggested Citation

  • 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.
  • Handle: RePEc:hka:wpaper:2019-047
    Note: MIP
    as

    Download full text from publisher

    File URL: http://humcap.uchicago.edu/RePEc/hka/wpaper/Brunner_Dougherty_Ross_2019_effects-career-education-CT.pdf
    File Function: First version, August 1, 2019
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Alan I. Barreca & Jason M. Lindo & Glen R. Waddell, 2016. "Heaping-Induced Bias In Regression-Discontinuity Designs," Economic Inquiry, Western Economic Association International, vol. 54(1), pages 268-293, January.
    2. Douglas Almond & Joseph J. Doyle & Amanda E. Kowalski & Heidi Williams, 2010. "Estimating Marginal Returns to Medical Care: Evidence from At-risk Newborns," The Quarterly Journal of Economics, Oxford University Press, vol. 125(2), pages 591-634.
    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. Benjamin Austin & Edward Glaeser & Lawrence Summers, 2018. "Jobs for the Heartland: Place-Based Policies in 21st-Century America," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 151-255.
    5. Mark Aguiar & Mark Bils & Kerwin Kofi Charles & Erik Hurst, 2021. "Leisure Luxuries and the Labor Supply of Young Men," Journal of Political Economy, University of Chicago Press, vol. 129(2), pages 337-382.
    6. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    7. Serena Canaan & Pierre Mouganie, 2018. "Returns to Education Quality for Low-Skilled Students: Evidence from a Discontinuity," Journal of Labor Economics, University of Chicago Press, vol. 36(2), pages 395-436.
    8. 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.
    9. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs [Econometric methods for program evaluation]," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    10. David Card & Alexandre Mas & Jesse Rothstein, 2008. "Tipping and the Dynamics of Segregation," The Quarterly Journal of Economics, Oxford University Press, vol. 123(1), pages 177-218.
    11. Michal Kolesár & Christoph Rothe, 2018. "Inference in Regression Discontinuity Designs with a Discrete Running Variable," American Economic Review, American Economic Association, vol. 108(8), pages 2277-2304, August.
    12. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 249-275.
    13. David H. Autor, 2019. "Work of the Past, Work of the Future," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 1-32, May.
    14. 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.
    15. Bifulco, Robert & Fletcher, Jason M. & Oh, Sun Jung & Ross, Stephen L., 2014. "Do high school peers have persistent effects on college attainment and other life outcomes?," Labour Economics, Elsevier, vol. 29(C), pages 83-90.
    16. Alan I. Barreca & Melanie Guldi & Jason M. Lindo & Glen R. Waddell, 2011. "Saving Babies? Revisiting the effect of very low birth weight classification," The Quarterly Journal of Economics, Oxford University Press, vol. 126(4), pages 2117-2123.
    17. David Card & Laura Giuliano, 2014. "Does Gifted Education Work? For Which Students?," NBER Working Papers 20453, National Bureau of Economic Research, Inc.
    18. 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.
    19. Meer, Jonathan, 2007. "Evidence on the returns to secondary vocational education," Economics of Education Review, Elsevier, vol. 26(5), pages 559-573, October.
    20. 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.
    21. 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.
    22. 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.
    23. Katharine G. Abraham & Melissa S. Kearney, 2020. "Explaining the Decline in the US Employment-to-Population Ratio: A Review of the Evidence," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 585-643, September.
    24. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    25. 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.
    26. Maxwell, Nan L. & Rubin, Victor, 2002. "High school career academies and post-secondary outcomes," Economics of Education Review, Elsevier, vol. 21(2), pages 137-152, April.
    27. Porter, Jack & Yu, Ping, 2015. "Regression discontinuity designs with unknown discontinuity points: Testing and estimation," Journal of Econometrics, Elsevier, vol. 189(1), pages 132-147.
    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. Mikko Silliman & Hanna Virtanen, 2022. "Labor Market Returns to Vocational Secondary Education," American Economic Journal: Applied Economics, American Economic Association, vol. 14(1), pages 197-224, January.
    3. Halapuu, Vivika, 2021. "Access to education and disability insurance claims," Working Paper Series 2021:17, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    4. Felipe Barrera-Osorio & Adriana D. Kugler & Mikko I. Silliman, 2020. "Hard and Soft Skills in Vocational Training: Experimental Evidence from Colombia," NBER Working Papers 27548, National Bureau of Economic Research, Inc.
    5. 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).
    6. Celeste K. Carruthers & Christopher Jepsen, 2020. "Vocational Education: An International Perspective," CESifo Working Paper Series 8718, CESifo.

    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. Bonilla, Sade, 2020. "The dropout effects of career pathways: Evidence from California," Economics of Education Review, Elsevier, vol. 75(C).
    2. 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.
    3. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    4. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    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. Matias D. Cattaneo & Rocio Titiunik & Gonzalo Vazquez-Bare, 2019. "The Regression Discontinuity Design," Papers 1906.04242, arXiv.org, revised Jun 2020.
    7. Xu, Ke-Li, 2017. "Regression discontinuity with categorical outcomes," Journal of Econometrics, Elsevier, vol. 201(1), pages 1-18.
    8. 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.
    9. Celeste K. Carruthers & Christopher Jepsen, 2020. "Vocational Education: An International Perspective," CESifo Working Paper Series 8718, CESifo.
    10. Van den Berge, Wiljan & Jongen, Egbert L. W. & van der Wiel, Karen, 2017. "Using Tax Deductions to Promote Lifelong Learning: Real and Shifting Responses," IZA Discussion Papers 10885, Institute of Labor Economics (IZA).
    11. 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).
    12. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    13. Kejia Hu & Sunil Chopra & Yuche Chen, 2021. "The Effect of Tightening Standards on Automakers’ Non‐compliance," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3094-3115, September.
    14. Gaggero, A. & Gil, J. & Jiménez-Rubio, D. & Zucchelli, E., 2021. "Health information and lifestyle behaviours: the impact of a diabetes diagnosis," Health, Econometrics and Data Group (HEDG) Working Papers 21/02, HEDG, c/o Department of Economics, University of York.
    15. Adam C. Sales & Ben B. Hansen, 2020. "Limitless Regression Discontinuity," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 143-174, April.
    16. Daysal, N. Meltem & Trandafir, Mircea & van Ewijk, Reyn, 2019. "Low-risk isn’t no-risk: Perinatal treatments and the health of low-income newborns," Journal of Health Economics, Elsevier, vol. 64(C), pages 55-67.
    17. Machin, Stephen & McNally, Sandra & Ruiz-Valenzuela, Jenifer, 2020. "Entry through the narrow door: The costs of just failing high stakes exams," Journal of Public Economics, Elsevier, vol. 190(C).
    18. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    19. 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.
    20. Lee, Ajin, 2020. "How do hospitals respond to managed care? Evidence from at-risk newborns," Journal of Public Economics, Elsevier, vol. 184(C).

    More about this item

    Keywords

    high school education; impact of education; test scores;
    All these keywords.

    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; 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:hka:wpaper:2019-047. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/mfichus.html .

    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: Jennifer Pachon (email available below). General contact details of provider: https://edirc.repec.org/data/mfichus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.