IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp12691.html
   My bibliography  Save this paper

The Pathways to College

Author

Listed:
  • Agarwal, Lisha

    (University of Padova)

  • Brunello, Giorgio

    (University of Padova)

  • Rocco, Lorenzo

    (University of Padova)

Abstract

We estimate the effect of the high school curriculum (or track) on the returns to college using data from the Italian PLUS (Participation Labour and Unemployment Survey) survey. We find that college graduates with vocational high school are less likely to be employed than graduates with academic high school. When employed, they earn 7.3 percent less per hour but work 3.8 percent more hours per week. They are less likely to fill high ranked occupations and more likely to find their first job quickly after school completion than other graduates. The wage penalty associated to vocational education in high school is larger for females than for males and for those born in the less economically developed Southern regions.

Suggested Citation

  • Agarwal, Lisha & Brunello, Giorgio & Rocco, Lorenzo, 2019. "The Pathways to College," IZA Discussion Papers 12691, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp12691
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp12691.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Daniele Checchi & Luca Flabbi, 2013. "Intergenerational Mobility and Schooling Decisions in Germany and Italy: The Impact of Secondary School Tracks," Rivista di Politica Economica, SIPI Spa, issue 3, pages 7-57, July-Sept.
    2. Lars J. Kirkeboen & Edwin Leuven & Magne Mogstad, 2016. "Editor's Choice Field of Study, Earnings, and Self-Selection," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1057-1111.
    3. Levine, Phillip B & Zimmerman, David J, 1995. "The Benefit of Additional High-School Math and Science Classes for Young Men and Women," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 137-149, April.
    4. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    5. Joseph G. Altonji, 1995. "The Effects of High School Curriculum on Education and Labor Market Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 30(3), pages 409-438.
    6. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    7. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
    8. David J. Deming & Justine S. Hastings & Thomas J. Kane & Douglas O. Staiger, 2014. "School Choice, School Quality, and Postsecondary Attainment," American Economic Review, American Economic Association, vol. 104(3), pages 991-1013, March.
    9. Joseph G. Altonji & Erica Blom & Costas Meghir, 2012. "Heterogeneity in Human Capital Investments: High School Curriculum, College Major, and Careers," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 185-223, July.
    10. Juanna Schrøter Joensen & Helena Skyt Nielsen, 2009. "Is there a Causal Effect of High School Math on Labor Market Outcomes?," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    11. Heather Rose & Julian R. Betts, 2004. "The Effect of High School Courses on Earnings," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 497-513, May.
    12. Giorgio Brunello & Lorenzo Rocco, 2017. "The Labor Market Effects of Academic and Vocational Education over the Life Cycle: Evidence Based on a British Cohort," Journal of Human Capital, University of Chicago Press, vol. 11(1), pages 106-166.
    13. Giorgio Brunello & Daniele Checchi, 2007. "Does school tracking affect equality of opportunity? New international evidence [‘Educational opportunities and the role of institutions’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 22(52), pages 782-861.
    14. Chevalier, Arnaud, 2011. "Subject choice and earnings of UK graduates," Economics of Education Review, Elsevier, vol. 30(6), pages 1187-1201.
    15. Lucia Rizzica, 2013. "Home or away? Gender differences in the effects of an expansion of tertiary education supply," Questioni di Economia e Finanza (Occasional Papers) 181, Bank of Italy, Economic Research and International Relations Area.
    16. Allen, James & Massing, Natascha & Schneider, Silke & van der Velden, Rolf, 2017. "Proposal for the revision of the Background Questionnaire on education and training for the 2nd cycle of PIAAC," ROA Technical Report 001, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    17. Lindley, Joanne & McIntosh, Steven, 2015. "Growth in within graduate wage inequality: The role of subjects, cognitive skill dispersion and occupational concentration," Labour Economics, Elsevier, vol. 37(C), pages 101-111.
    18. Hainmueller, Jens & Xu, Yiqing, 2013. "ebalance: A Stata Package for Entropy Balancing," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i07).
    19. Thomas Lemieux, 2006. "Increasing Residual Wage Inequality: Composition Effects, Noisy Data, or Rising Demand for Skill?," American Economic Review, American Economic Association, vol. 96(3), pages 461-498, June.
    20. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
    21. Biewen, Martin & Tapalaga, Madalina, 2017. "Life-cycle educational choices in a system with early tracking and ‘second chance’ options," Economics of Education Review, Elsevier, vol. 56(C), pages 80-94.
    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. Maria Esther Oswald-Egg & Ursula Renold, 2019. "No Experience, No Employment: The Effect of Vocational Education and Training Work Experience on Labour Market Outcomes after Higher Education," KOF Working papers 19-469, KOF Swiss Economic Institute, ETH Zurich.
    2. Brunello, Giorgio & Esposito, Piero & Rocco, Lorenzo & Scicchitano, Sergio, 2023. "Do Classical Studies Open your Mind?," GLO Discussion Paper Series 1242, Global Labor Organization (GLO).
    3. Esposito, Piero & Scicchitano, Sergio, 2022. "Educational mismatch and labour market transitions in Italy: Is there an unemployment trap?," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 138-155.
    4. Oswald-Egg, Maria Esther & Renold, Ursula, 2021. "No experience, no employment: The effect of vocational education and training work experience on labour market outcomes after higher education," Economics of Education Review, Elsevier, vol. 80(C).

    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. Zullo, Matteo, 2022. "(No) Trade-off between numeracy and verbal reasoning development: PISA evidence from Italy's academic tracking," Intelligence, Elsevier, vol. 95(C).
    2. Dahl, Gordon B. & Rooth, Dan-Olof & Stenberg, Anders, 2020. "Long-Run Returns to Field of Study in Secondary School," IZA Discussion Papers 13508, Institute of Labor Economics (IZA).
    3. Gordon Dahl & Dan-Olof Rooth & Anders Stenberg, 2020. "High School Majors, Comparative (Dis)Advantage, and Future Earnings," NBER Working Papers 27524, National Bureau of Economic Research, Inc.
    4. Joshua Goodman, 2019. "The Labor of Division: Returns to Compulsory High School Math Coursework," Journal of Labor Economics, University of Chicago Press, vol. 37(4), pages 1141-1182.
    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. Lenka Fiala & John Eric Humphries & Juanna Schrøter Joensen & Uditi Karna & John A. List & Gregory F. Veramendi, 2022. "How Early Adolescent Skills and Preferences Shape Economics Education Choices," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 609-613, May.
    7. Jia, Ning, 2021. "Do stricter high school math requirements raise college STEM attainment?," Economics of Education Review, Elsevier, vol. 83(C).
    8. Marta De Philippis, 2023. "STEM Graduates and Secondary School Curriculum: Does Early Exposure to Science Matter?," Journal of Human Resources, University of Wisconsin Press, vol. 58(6), pages 1914-1947.
    9. Katja Görlitz & Christina Gravert, 2018. "The effects of a high school curriculum reform on university enrollment and the choice of college major," Education Economics, Taylor & Francis Journals, vol. 26(3), pages 321-336, May.
    10. Esteban Aucejo & Jonathan James, 2021. "The Path to College Education: The Role of Math and Verbal Skills," Journal of Political Economy, University of Chicago Press, vol. 129(10), pages 2905-2946.
    11. Roychowdhury, Punarjit, 2021. "(Em)Powered by Science? Estimating the Relative Labor Market Returns to Majoring in Science in High School in India," Economics of Education Review, Elsevier, vol. 82(C).
    12. Biewen, Martin & Schwerter, Jakob, 2019. "Does More Math in High School Increase the Share of Female STEM Workers? Evidence from a Curriculum Reform," IZA Discussion Papers 12236, Institute of Labor Economics (IZA).
    13. Helena Nielsen & Juanna Joensen, 2015. "Peer Effects in Math and Science," 2015 Meeting Papers 1343, Society for Economic Dynamics.
    14. Guy Tchuente, 2016. "High School Human Capital Portfolio and College Outcomes," Journal of Human Capital, University of Chicago Press, vol. 10(3), pages 267-302.
    15. Black, Sandra E. & Muller, Chandra & Spitz-Oener, Alexandra & He, Ziwei & Hung, Koit & Warren, John Robert, 2021. "The importance of STEM: High school knowledge, skills and occupations in an era of growing inequality," Research Policy, Elsevier, vol. 50(7).
    16. Titan Alon, 2018. "Earning More by Doing Less: Human Capital Specialization and the College Wage Premium," 2018 Meeting Papers 497, Society for Economic Dynamics.
    17. Falch, Torberg & Nyhus, Ole Henning & Strøm, Bjarne, 2014. "Causal effects of mathematics," Labour Economics, Elsevier, vol. 31(C), pages 174-187.
    18. Elke Lüdemann, 2011. "Schooling and the Formation of Cognitive and Non-cognitive Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 39.
    19. Han Yu & Naci Mocan, 2019. "The Impact of High School Curriculum on Confidence, Academic Success, and Mental and Physical Well-Being of University Students," Journal of Labor Research, Springer, vol. 40(4), pages 428-462, December.
    20. Joensen, Juanna Schrøter & Nielsen, Helena Skyt, 2018. "Spillovers in education choice," Journal of Public Economics, Elsevier, vol. 157(C), pages 158-183.

    More about this item

    Keywords

    returns to college; high school curriculum; Italy;
    All these keywords.

    JEL classification:

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

    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:iza:izadps:dp12691. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.