IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v75y2020ics0272775719304492.html
   My bibliography  Save this article

The dropout effects of career pathways: Evidence from California

Author

Listed:
  • Bonilla, Sade

Abstract

Contemporary Career and Technical Education (CTE) models have shifted from isolated courses to sequences of study that integrate academics and skills in high-demand sectors. Providing career pathways to high school students may reduce asymmetries about the available careers and strategies for attaining them but they may also catalyze students’ intrinsic motivation by shifting their understanding of their social role and capacity for success. In this study, I estimate the effects of an ambitious $500 million effort to encourage the formation of career pathways in California. Funding supported the formation of tripartite partnerships between K-12 school districts, employers and community colleges to develop career pathway curricula (i.e., articulated course sequences) in high-demand occupations and sectors. I provide causal estimates of implementing this multifaceted intervention by leveraging a natural experiment that occurs at the margin of grant receipt. Using Regression Discontinuity (RD) designs, I provide evidence on the most proximate mechanism, increased CTE spending. Per pupil CTE expenditures increased by 21.7 percent for grant recipients at the assignment threshold relative to the CTE spending of unsuccessful applicants. Furthermore, dropout rates declined by 23 percent in treatment districts but were more pronounced for females than males.

Suggested Citation

  • Bonilla, Sade, 2020. "The dropout effects of career pathways: Evidence from California," Economics of Education Review, Elsevier, vol. 75(C).
  • Handle: RePEc:eee:ecoedu:v:75:y:2020:i:c:s0272775719304492
    DOI: 10.1016/j.econedurev.2020.101972
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775719304492
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2020.101972?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Richard J. Murnane, 2013. "U.S. High School Graduation Rates: Patterns and Explanations," Journal of Economic Literature, American Economic Association, vol. 51(2), pages 370-422, June.
    2. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik, 2019. "Regression Discontinuity Designs Using Covariates," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 442-451, July.
    3. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    4. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Simple Local Polynomial Density Estimators," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1449-1455, July.
    5. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    6. James J. Heckman & Paul A. LaFontaine, 2010. "The American High School Graduation Rate: Trends and Levels," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 244-262, May.
    7. repec:mpr:mprres:5949 is not listed on IDEAS
    8. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    9. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    10. David M. Cutler & Adriana Lleras-Muney, 2006. "Education and Health: Evaluating Theories and Evidence," NBER Working Papers 12352, National Bureau of Economic Research, Inc.
    11. 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.
    12. 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.
    13. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    14. Meer, Jonathan, 2007. "Evidence on the returns to secondary vocational education," Economics of Education Review, Elsevier, vol. 26(5), pages 559-573, October.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Roberto Agodini & John Deke, 2004. "The Relationship Between High School Vocational Education and Dropping Out," Mathematica Policy Research Reports d912ac537ff647198efd7b61f, Mathematica Policy Research.
    21. Mane, Ferran, 1999. "Trends in the payoff to academic and occupation-specific skills: the short and medium run returns to academic and vocational high school courses for non-college-bound students," Economics of Education Review, Elsevier, vol. 18(4), pages 417-437, October.
    22. Roland Bénabou & Jean Tirole, 2003. "Intrinsic and Extrinsic Motivation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(3), pages 489-520.
    23. 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.
    24. 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.
    25. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Manipulation testing based on density discontinuity," Stata Journal, StataCorp LP, vol. 18(1), pages 234-261, March.
    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. Celeste K. Carruthers & Christopher Jepsen, 2020. "Vocational Education: An International Perspective," CESifo Working Paper Series 8718, CESifo.
    2. Blazar, David & Gao, Wenjing & Gershenson, Seth & Goings, Ramon & Lagos, Francisco, 2024. "Do Grow-Your-Own Programs Work? Evidence from the Teacher Academy of Maryland," IZA Discussion Papers 16983, Institute of Labor Economics (IZA).

    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. 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.
    2. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    3. Eric J. Brunner & Shaun Dougherty & Stephen L. Ross, 2019. "The Effects of Career and Technical Education: Evidence from the Connecticut Technical High School System," Working papers 2019-13, University of Connecticut, Department of Economics.
    4. 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.
    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. Crespo Cristian, 2020. "Beyond Manipulation: Administrative Sorting in Regression Discontinuity Designs," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 164-181, January.
    7. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
    8. 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.
    9. Crespo Cristian, 2020. "Beyond Manipulation: Administrative Sorting in Regression Discontinuity Designs," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 164-181, January.
    10. Burgherr, David, 2022. "Behavioral Responses to a Pension Savings Mandate : Quasi-experimental Evidence from Swiss Tax Data," CAGE Online Working Paper Series 645, Competitive Advantage in the Global Economy (CAGE).
    11. 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.
    12. D’Inverno, Giovanna & Smet, Mike & De Witte, Kristof, 2021. "Impact evaluation in a multi-input multi-output setting: Evidence on the effect of additional resources for schools," European Journal of Operational Research, Elsevier, vol. 290(3), pages 1111-1124.
    13. Mellace, Giovanni & Ventura, Marco, 2019. "Intended and unintended effects of public incentives for innovation. Quasi-experimental evidence from Italy," Discussion Papers on Economics 9/2019, University of Southern Denmark, Department of Economics.
    14. Celeste K. Carruthers & Christopher Jepsen, 2020. "Vocational Education: An International Perspective," CESifo Working Paper Series 8718, CESifo.
    15. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2023. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1977-2019.
    16. Babii, Andrii & Kumar, Rohit, 2023. "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
    17. Hsu, Yu-Chin & Shiu, Ji-Liang & Wan, Yuanyuan, 2024. "Testing identification conditions of LATE in fuzzy regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 241(1).
    18. Cuong Viet Nguyen & Finn Tarp, 2023. "Cash Transfers and Labor Supply: New Evidence on Impacts and Mechanisms," DERG working paper series 23-18, University of Copenhagen. Department of Economics. Development Economics Research Group (DERG).
    19. Kettlewell, Nathan & Siminski, Peter, 2020. "Optimal Model Selection in RDD and Related Settings Using Placebo Zones," IZA Discussion Papers 13639, Institute of Labor Economics (IZA).
    20. Bartalotti Otávio, 2019. "Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-26, January.

    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:75:y:2020:i:c:s0272775719304492. 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.