IDEAS home Printed from https://ideas.repec.org/a/uwp/jhriss/v51y2016i2p416-460.html
   My bibliography  Save this article

Heterogeneous Economic Returns to Post-Secondary Degrees: Evidence from Chile

Author

Listed:
  • Jorge Rodríguez
  • Sergio Urzúa
  • Loreto Reyes

Abstract

We analyze the economic returns to post-secondary degrees in Chile. We posit a schooling decision model with unobserved ability, degree-specific tuition costs, and earnings. We use administrative records to carry out our empirical analysis. Our results show positive average returns to post-secondary education, especially for five-year degrees. However, we also uncover significant heterogeneity. We document how unobserved characteristics (ability) determine the economic benefits of first- and second-best choices, even leading to negative returns to post-secondary degrees. Our findings illustrate the importance of allowing for heterogeneous treatment effects and individuals’ choices when examining the returns to education.

Suggested Citation

  • Jorge Rodríguez & Sergio Urzúa & Loreto Reyes, 2016. "Heterogeneous Economic Returns to Post-Secondary Degrees: Evidence from Chile," Journal of Human Resources, University of Wisconsin Press, vol. 51(2), pages 416-460.
  • Handle: RePEc:uwp:jhriss:v:51:y:2016:i:2:p:416-460
    Note: DOI: 10.3368/jhr.51.2.0213-5474R1
    as

    Download full text from publisher

    File URL: http://jhr.uwpress.org/cgi/reprint/51/2/416
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.
    ---><---

    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. Justine S. Hastings & Christopher A. Neilson & Seth D. Zimmerman, 2013. "Are Some Degrees Worth More than Others? Evidence from college admission cutoffs in Chile," NBER Working Papers 19241, National Bureau of Economic Research, Inc.
    2. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College," NBER Working Papers 9546, National Bureau of Economic Research, Inc.
    3. Carneiro, Pedro & Hansen, Karsten T. & Heckman, James J., 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice," IZA Discussion Papers 767, Institute of Labor Economics (IZA).
    4. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2003. "2001 Lawrence R. Klein Lecture Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 361-422, May.
    5. Marina Bassi & Matías Busso & Sergio Urzúa & Jaime Vargas, 2012. "Disconnected: Skills, Education, and Employment in Latin America," IDB Publications (Books), Inter-American Development Bank, number 79504, February.
    6. Zvi Eckstein & Kenneth I. Wolpin, 1989. "Dynamic Labour Force Participation of Married Women and Endogenous Work Experience," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(3), pages 375-390.
    7. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    8. Flavio Cunha & James Heckman & Salvador Navarro, 2005. "Separating uncertainty from heterogeneity in life cycle earnings," Oxford Economic Papers, Oxford University Press, vol. 57(2), pages 191-261, April.
    9. Heckman, James J. & Lochner, Lance J. & Todd, Petra E., 2006. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 7, pages 307-458, Elsevier.
    10. James J. Heckman, 2010. "Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 356-398, June.
    11. Thomas J. Kane, 1996. "College Cost, Borrowing Constraints and the Timing of College Entry," Eastern Economic Journal, Eastern Economic Association, vol. 22(2), pages 181-194, Spring.
    12. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American Males," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 262-333, April.
    13. Stephen V. Cameron & Christopher Taber, 2004. "Estimation of Educational Borrowing Constraints Using Returns to Schooling," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 132-182, February.
    14. Busso, Matías & Bassi, Marina & Urzúa, Sergio & Vargas, Jaime, 2012. "Disconnected: Skills, Education, and Employment in Latin America," IDB Publications (Books), Inter-American Development Bank, number 427.
    15. Tomás Rau, 2013. "Modeling structural equations with endogenous regressors and heterogeneity through derivative constraints," Quantitative Economics, Econometric Society, vol. 4(1), pages 125-148, March.
    16. Christopher R. Taber, 2001. "The Rising College Premium in the Eighties: Return to College or Return to Unobserved Ability?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(3), pages 665-691.
    17. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts," NBER Working Papers 6385, National Bureau of Economic Research, Inc.
    18. Aakvik, Arild & Heckman, James J. & Vytlacil, Edward J., 2005. "Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 15-51.
    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. Ricardo Nogales & Pamela Córdova & Manuel Urquidi, 2020. "The impact of university reputation on employment opportunities: Experimental evidence from Bolivia," The Economic and Labour Relations Review, , vol. 31(4), pages 524-542, December.
    2. Marina Bassi & Lelys Dinarte-Diaz & Maria Marta Ferreyra & Sergio Urzua, 2023. "What Makes a Program Good? Evidence from Short-Cycle Higher Education Programs in Five Developing Countries," CESifo Working Paper Series 10255, CESifo.
    3. Jorge Rodríguez & Fernando Saltiel & Sergio Urzúa, 2022. "Dynamic treatment effects of job training," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 242-269, March.
    4. Aguirre, Josefa & Matta, Juan, 2021. "Walking in your footsteps: Sibling spillovers in higher education choices," Economics of Education Review, Elsevier, vol. 80(C).
    5. 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).
    6. W. Bentley MacLeod & Evan Riehl & Juan E. Saavedra & Miguel Urquiola, 2017. "The Big Sort: College Reputation and Labor Market Outcomes," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 223-261, July.
    7. Biewen, Martin & (neé Tapalaga), Madalina Thiele, 2020. "Early tracking, academic vs. vocational training, and the value of ‘second-chance’ options," Labour Economics, Elsevier, vol. 66(C).
    8. 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.
    9. Dinarte-Diaz, Lelys & Ferreyra, Maria Marta & Urzua, Sergio & Bassi, Marina, 2023. "What makes a program good? Evidence from short-cycle higher education programs in five developing countries," World Development, Elsevier, vol. 169(C).
    10. Ana Maria Montoya & Carlos Noton & Alex Solis, 2017. "Returns to Higher Education: Vocational Education vs College," Documentos de Trabajo 334, Centro de Economía Aplicada, Universidad de Chile.
    11. Souvik Banerjee & Anirban Basu, 2021. "Estimating Endogenous Treatment Effects Using Latent Factor Models with and without Instrumental Variables," Econometrics, MDPI, vol. 9(1), pages 1-25, March.
    12. Yoshimichi Murakami & Tomokazu Nomura, 2023. "Decline in values of degrees and recent evolution of wage inequality: Evidence from Chile," Estudios de Economia, University of Chile, Department of Economics, vol. 50(1 Year 20), pages 55-132, June.
    13. Adriana Camacho & Julián Messina & Juan Pablo Uribe, 2017. "The Expansion of Higher Education in Colombia: Bad Students or Bad Programs?," Documentos CEDE 15352, Universidad de los Andes, Facultad de Economía, CEDE.
    14. Leonardo Fabio Morales & Christian Posso & Luz A. Flórez, 2021. "Heterogeneity in the Returns to Tertiary Education for the Disadvantage Youth: Quality vs. Quantity Analysis," Borradores de Economia 1150, Banco de la Republica de Colombia.
    15. Alonso Bucarey & Dante Contreras & Pablo Muñoz, 2018. "Labor Market Returns to Student Loans," Working Papers wp464, University of Chile, Department of Economics.

    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. Loreto Reyes & Jorge Rodríguez & Sergio S. Urzúa, 2013. "Heterogeneous Economic Returns to Postsecondary Degrees: Evidence from Chile," NBER Working Papers 18817, National Bureau of Economic Research, Inc.
    2. James J. Heckman, 2008. "The Principles Underlying Evaluation Estimators with an Application to Matching," Annals of Economics and Statistics, GENES, issue 91-92, pages 9-73.
    3. Salvador Navarro, 2011. "Using Observed Choices to Infer Agent's Information: Reconsidering the Importance of Borrowing Constraints, Uncertainty and Preferences in College Attendance," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20118, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    4. Heckman, James J., 2010. "The Assumptions Underlying Evaluation Estimators," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
    5. Heckman, James J. & Navarro, Salvador, 2007. "Dynamic discrete choice and dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 136(2), pages 341-396, February.
    6. Belzil, Christian, 2007. "The return to schooling in structural dynamic models: a survey," European Economic Review, Elsevier, vol. 51(5), pages 1059-1105, July.
    7. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory, 2016. "Dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 191(2), pages 276-292.
    8. Binelli, Chiara & Menezes-Filho, Naercio, 2019. "Why Brazil fell behind in college education?," Economics of Education Review, Elsevier, vol. 72(C), pages 80-106.
    9. Christian Belzil, 2008. "Testing the Specification of the Mincer Wage Equation," Annals of Economics and Statistics, GENES, issue 91-92, pages 427-451.
    10. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011. "Estimating Marginal Returns to Education," American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
    11. Elizabeth M. Caucutt & Lance Lochner, 2020. "Early and Late Human Capital Investments, Borrowing Constraints, and the Family," Journal of Political Economy, University of Chicago Press, vol. 128(3), pages 1065-1147.
    12. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    13. Anderberg, Dan, 2013. "Post-compulsory education: Participation and politics," European Journal of Political Economy, Elsevier, vol. 29(C), pages 134-150.
    14. Jaap Abbring & James Heckman, 2008. "Dynamic policy analysis," CeMMAP working papers CWP05/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. James J. Heckman & Rodrigo Pinto, 2023. "Econometric Causality: The Central Role of Thought Experiments," NBER Working Papers 31945, National Bureau of Economic Research, Inc.
    16. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    17. Salvador Navarro & Jin Zhou, 2017. "Identifying Agent's Information Sets: an Application to a Lifecycle Model of Schooling, Consumption, and Labor Supply," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 58-92, April.
    18. Heckman, James J. & Pinto, Rodrigo, 2022. "Causality and Econometrics," IZA Discussion Papers 15081, Institute of Labor Economics (IZA).
    19. Becher, Michael & Stegmueller, Daniel, 2019. "Cognitive Ability, Union Membership, and Voter Turnout," IAST Working Papers 19-97, Institute for Advanced Study in Toulouse (IAST).
    20. Salvador Navarro & Jin Zhou, 2017. "Identifying Agent's Information Sets: an Application to a Lifecycle Model of Schooling, Consumption, and Labor Supply," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 58-92, April.

    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:uwp:jhriss:v:51:y:2016:i:2:p:416-460. 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: http://jhr.uwpress.org/ .

    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.