IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v38y2014icp328-340.html
   My bibliography  Save this article

Modelling the distribution of returns on higher education: A microsimulation approach

Author

Listed:
  • Courtioux, Pierre
  • Gregoir, Stéphane
  • Houeto, Dede

Abstract

Cost-sharing policies for higher education have been implemented in several countries in various ways. We argue that to assess their appropriateness and facilitate their implementation it is necessary to develop statistical indicators of the distribution of returns. When starting a higher education programme, the return on a particular degree is uncertain, and risk-adverse students or those from low-income families may be reluctant to enrol if this means taking out a loan. These statistical indicators would therefore be natural inputs of cost-sharing policies intended to preserve the individual economic incentives to go to university and simultaneously provide an insurance role. We present a dynamic microsimulation model of individual lifetime educational output in the French labour market which uses econometric modelling of individual wages, labour market transitions, social security contributions and benefits. It relies largely on labour force survey data and mortality tables. In the standard internal rate of return framework, the model is used to compute the distribution of returns to higher education, for a given generation. The results show that the percentage of negative returns is close to 3.5%.

Suggested Citation

  • Courtioux, Pierre & Gregoir, Stéphane & Houeto, Dede, 2014. "Modelling the distribution of returns on higher education: A microsimulation approach," Economic Modelling, Elsevier, vol. 38(C), pages 328-340.
  • Handle: RePEc:eee:ecmode:v:38:y:2014:i:c:p:328-340
    DOI: 10.1016/j.econmod.2014.01.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999314000133
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2014.01.010?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. Fatih Guvenen, 2009. "An Empirical Investigation of Labor Income Processes," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 58-79, January.
    2. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," NBER Chapters, in: Investment in Human Beings, pages 9-49, National Bureau of Economic Research, Inc.
    3. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    4. 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.
    5. Mabugu, Ramos & Chitiga, Margaret, 2009. "Is increased agricultural protection beneficial for South Africa?," Economic Modelling, Elsevier, vol. 26(1), pages 256-265, January.
    6. Pierre Courtioux, 2012. "How income contingent loans could affect the returns to higher education: a microsimulation of the French case," Education Economics, Taylor & Francis Journals, vol. 20(4), pages 402-429, November.
    7. Creedy, John & Gemmell, Norman, 2009. "Corporation tax revenue growth in the UK: A microsimulation analysis," Economic Modelling, Elsevier, vol. 26(3), pages 614-625, May.
    8. 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.
    9. Moshe Buchinsky & Phillip Leslie, 2010. "Educational Attainment and the Changing U.S. Wage Structure: Dynamic Implications on Young Individuals' Choices," Journal of Labor Economics, University of Chicago Press, vol. 28(3), pages 541-594, July.
    10. David Flacher & Hugo Harari-Kermadec, 2013. "Tuition fees, self-esteem and social heterogeneity," Education Economics, Taylor & Francis Journals, vol. 21(2), pages 191-210, March.
    11. Magnani, Riccardo & Mercenier, Jean, 2009. "On linking microsimulation and computable general equilibrium models using exact aggregation of heterogeneous discrete-choice making agents," Economic Modelling, Elsevier, vol. 26(3), pages 560-570, May.
    12. Nelissen, Jan H. M., 1998. "Annual versus lifetime income redistribution by social security," Journal of Public Economics, Elsevier, vol. 68(2), pages 223-249, May.
    13. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, July.
    14. David M. Cutler & Adriana Lleras-Muney, 2006. "Education and Health: Evaluating Theories and Evidence," NBER Working Papers 12352, National Bureau of Economic Research, Inc.
    15. van Sonsbeek, Jan-Maarten, 2010. "Micro simulations on the effects of ageing-related policy measures," Economic Modelling, Elsevier, vol. 27(5), pages 968-979, September.
    16. Chapman, Bruce, 2006. "Income Contingent Loans for Higher Education: International Reforms," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 25, pages 1435-1503, Elsevier.
    17. Arntz, Melanie & Boeters, Stefan & Gürtzgen, Nicole & Schubert, Stefanie, 2008. "Analysing welfare reform in a microsimulation-AGE model: The value of disaggregation," Economic Modelling, Elsevier, vol. 25(3), pages 422-439, May.
    18. repec:dau:papers:123456789/10510 is not listed on IDEAS
    19. van Sonsbeek, Jan-Maarten & Alblas, Ridwan, 2012. "Disability benefit microsimulation models in the Netherlands," Economic Modelling, Elsevier, vol. 29(3), pages 700-715.
    20. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    21. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
    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. Fischer, Benjamin & Hügle, Dominik, 2020. "The private and fiscal returns to higher education: A simulation approach for a young German cohort," Discussion Papers 2020/21, Free University Berlin, School of Business & Economics.
    2. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    3. Friedhelm Pfeiffer & Holger Stichnoth, 2021. "Fiscal and individual rates of return to university education with and without graduation," Applied Economics Letters, Taylor & Francis Journals, vol. 28(16), pages 1432-1435, September.
    4. Gomis-Porqueras, Pedro & Rodrigues-Neto, José A., 2018. "Teaching technologies, attendance, learning and the optimal level of access to online materials," Economic Modelling, Elsevier, vol. 73(C), pages 329-342.
    5. Courtioux, Pierre & Lignon, Vincent, 2016. "A good career or a good marriage: The returns of higher education in France," Economic Modelling, Elsevier, vol. 57(C), pages 221-237.
    6. Francisco José Collado Muñoz & Elena del Rey Canteli & Natalia Utrero González, 2017. "Estimating taxpayer subsidies and individual repayment burdens of a student loan program in Spain," Hacienda Pública Española / Review of Public Economics, IEF, vol. 220(1), pages 89-106, March.
    7. Levin, Mark (Левин, Марк) & Matrosova, Ksenia (Матросова, Ксения), 2018. "Development and Research of Economic Behavior of Households in Changing Conditions [Разработка И Исследование Экономического Поведения Домохозяйств В Изменяющихся Условиях]," Working Papers 041825, Russian Presidential Academy of National Economy and Public Administration.
    8. Kidd, Michael P. & O'Leary, Nigel & Sloane, Peter, 2017. "The impact of mobility on early career earnings: A quantile regression approach for UK graduates," Economic Modelling, Elsevier, vol. 62(C), pages 90-102.

    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. Pierre Courtioux & Stéphane Gregoir & Dede Houeto, 2009. "The Simulation of the Educational Output over the Life Course: The GAMEO Model," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00391393, HAL.
    2. Maria Manuel Campos & Hugo Reis, 2018. "Returns to schooling in the Portuguese economy: a reassessment," Public Sector Economics, Institute of Public Finance, vol. 42(2), pages 215-242.
    3. Diego Restuccia & Guillaume Vandenbroucke, 2014. "Explaining Educational Attainment across Countries and over Time," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(4), pages 824-841, October.
    4. Oliver Morrissey & Susan Namirembe Kavuma & Richard Upward, 2015. "Private returns to education for wage-employees and the self-employed in Uganda," WIDER Working Paper Series 021, World Institute for Development Economic Research (UNU-WIDER).
    5. Necker, Sarah & Voskort, Andrea, 2014. "Intergenerational transmission of risk attitudes – A revealed preference approach," European Economic Review, Elsevier, vol. 65(C), pages 66-89.
    6. Grit Muehler & Michael Beckmann & Bernd Schauenberg, 2007. "The returns to continuous training in Germany: new evidence from propensity score matching estimators," Review of Managerial Science, Springer, vol. 1(3), pages 209-235, November.
    7. 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.
    8. Brown, Jeffrey R. & Fang, Chichun & Gomes, Francisco, 2015. "Risks and returns to education over time," CFS Working Paper Series 512, Center for Financial Studies (CFS).
    9. Susan Namirembe Kavuma & Oliver Morrissey & Richard Upward, 2015. "Private Returns to Education for Wage-employees and the Self-employed in Uganda," WIDER Working Paper Series wp-2015-021, World Institute for Development Economic Research (UNU-WIDER).
    10. Felipe Andrés Lozano-Rojas, 2012. "Human Capital Contracts in Chile: An Exercise Based on Income Data on chilean HE Graduates," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 49(2), pages 185-215, November.
    11. Savina Finardi & Jakub Fischer, 2017. "The estimation of Mincer function in conditions of the Czech republic [Odhad Mincerovy funkce v podmínkách České republiky]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2017(3), pages 57-68.
    12. repec:eee:labchp:v:1:y:1986:i:c:p:305-355 is not listed on IDEAS
    13. Ion Zgreaban, Irina, 2013. "Education in Romania - How much is it Worth?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 149-163, March.
    14. Pritha Dev & Blessing U. Mberu & Roland Pongou, 2016. "Ethnic Inequality: Theory and Evidence from Formal Education in Nigeria," Economic Development and Cultural Change, University of Chicago Press, vol. 64(4), pages 603-660.
    15. Thomas Lemieux, 2014. "Occupations, fields of study and returns to education," Canadian Journal of Economics, Canadian Economics Association, vol. 47(4), pages 1047-1077, November.
    16. Garcia-Louzao, Jose & Hospido, Laura & Ruggieri, Alessandro, 2023. "Dual returns to experience," Labour Economics, Elsevier, vol. 80(C).
    17. Hans Dietrich & Harald Pfeifer & Felix Wenzelmann, 2016. "The more they spend, the more I earn? Firms' training investments and post-training wages of apprentices," Economics of Education Working Paper Series 0116, University of Zurich, Department of Business Administration (IBW).
    18. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    19. Flabbi, Luca & Paternostro, Stefano & Tiongson, Erwin R., 2008. "Returns to education in the economic transition: A systematic assessment using comparable data," Economics of Education Review, Elsevier, vol. 27(6), pages 724-740, December.
    20. Sungjin Cho & Jihye Kam & Soohyung Lee, 2018. "Efficient Supply Of Human Capital: Role Of College Major," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(05), pages 1319-1343, December.
    21. Yuchtman, Noam, 2017. "Teaching to the tests: An economic analysis of traditional and modern education in late imperial and republican China," Explorations in Economic History, Elsevier, vol. 63(C), pages 70-90.

    More about this item

    Keywords

    Return to education; Higher education; Dynamic microsimulation;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:ecmode:v:38:y:2014:i:c:p:328-340. 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/inca/30411 .

    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.