IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/96310.html
   My bibliography  Save this paper

Access to Graduate Education in Brazil: predictors of choice and enrollment in master’s degree programs

Author

Listed:
  • Colombo, Daniel Gama e

Abstract

This paper presents an assessment of the factors associated with access to master’s degree programs in Brazil, investigating whether there is evidence of inequity arising from students’ personal and socioeconomic characteristics. A rich and novel dataset comprising microdata on undergraduate college graduates and new master’s students is used for the empirical analysis. Students’ decisions to progress to graduate education are modeled as a two-stage process, and the parameters are estimated separately for each broad academic field using a conditional logit model for the first stage, and a logistic regression analysis for the second stage. The main findings are: (a) there is strong evidence of low mobility of students starting graduate education, and they are far more likely to choose a master’s degree program in the same university or close to where they graduated from college; (b) academic performance and activities during undergraduate program in college are associated with an increase in the relative odds of progressing to graduate education; (c) in most broad academic fields, no evidence that women, black or brown students, economically disadvantaged students, foreigners and people with disabilities are less likely to start a master’s program is found; and (d) a significant association between the odds of enrollment and parental education is not observed in nearly all fields. The study points to different recommendations and to further research questions to understand and improve graduate education in Brazil.

Suggested Citation

  • Colombo, Daniel Gama e, 2019. "Access to Graduate Education in Brazil: predictors of choice and enrollment in master’s degree programs," MPRA Paper 96310, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:96310
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/96310/3/MPRA_paper_96310.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michael B. Paulsen & Edward P. St. John, 2002. "Social Class and College Costs," The Journal of Higher Education, Taylor & Francis Journals, vol. 73(2), pages 189-236, March.
    2. Eric P. Bettinger & Bridget Terry Long, 2009. "Addressing the Needs of Underprepared Students in Higher Education: Does College Remediation Work?," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    3. Terry Long, B.Bridget, 2004. "How have college decisions changed over time? An application of the conditional logistic choice model," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 271-296.
    4. James J. Heckman & John Eric Humphries & Gregory Veramendi, 2018. "Returns to Education: The Causal Effects of Education on Earnings, Health, and Smoking," Journal of Political Economy, University of Chicago Press, vol. 126(S1), pages 197-246.
    5. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    6. Stephen L. DesJardins & Dennis A. Ahlburg & Brian P. McCall, 2006. "An Integrated Model of Application, Admission, Enrollment, and Financial Aid," The Journal of Higher Education, Taylor & Francis Journals, vol. 77(3), pages 381-429, May.
    7. Simon Cheng & J. Scott Long, 2007. "Testing for IIA in the Multinomial Logit Model," Sociological Methods & Research, , vol. 35(4), pages 583-600, May.
    8. Gary S. Becker, 1994. "Human Capital Revisited," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition, pages 15-28, National Bureau of Economic Research, Inc.
    9. Catherine M. Millett, 2003. "How Undergraduate Loan Debt Affects Application and Enrollment in Graduate or First Professional School," The Journal of Higher Education, Taylor & Francis Journals, vol. 74(4), pages 386-427, July.
    10. Philip Wales, 2013. "Access All Areas? The Impact of Fees and Background on Student Demand for Postgraduate Higher Education in the UK," SERC Discussion Papers 0128, Centre for Economic Performance, LSE.
    11. Gary S. Becker & William H. J. Hubbard & Kevin M. Murphy, 2010. "Explaining the Worldwide Boom in Higher Education of Women," Journal of Human Capital, University of Chicago Press, vol. 4(3), pages 203-241.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    13. Matthew T. Johnson, 2013. "The Impact of Business Cycle Fluctuations on Graduate School Enrollment," Mathematica Policy Research Reports 77da29f047574fbfb5f216d63, Mathematica Policy Research.
    14. Gary S. Becker & William H. J. Hubbard & Kevin M. Murphy, 2010. "Explaining the Worldwide Boom in Higher Education of Women," Journal of Human Capital, University of Chicago Press, vol. 4(3), pages 203-241.
    15. Gary S. Becker, 1994. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition," NBER Books, National Bureau of Economic Research, Inc, number beck94-1.
    16. Altonji, J.G. & Arcidiacono, P. & Maurel, A., 2016. "The Analysis of Field Choice in College and Graduate School," Handbook of the Economics of Education,, Elsevier.
    17. 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.
    18. Nicole M. Fortin & Philip Oreopoulos & Shelley Phipps, 2015. "Leaving Boys Behind: Gender Disparities in High Academic Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 50(3), pages 549-579.
    19. Benjamin T. Skinner, 2019. "Choosing College in the 2000s: An Updated Analysis Using the Conditional Logistic Choice Model," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(2), pages 153-183, March.
    20. Laura W. Perna, 2004. "Understanding the Decision to Enroll in Graduate School: Sex and Racial/Ethnic Group Differences," The Journal of Higher Education, Taylor & Francis Journals, vol. 75(5), pages 487-527, September.
    21. Laura Walter Perna, 2000. "Differences in the Decision to Attend College among African Americans, Hispanics, and Whites," The Journal of Higher Education, Taylor & Francis Journals, vol. 71(2), pages 117-141, March.
    22. Wales, Philip, 2013. "Access all areas? The impact of fees and background on student demand for postgraduate higher education in the UK," LSE Research Online Documents on Economics 57846, London School of Economics and Political Science, LSE Library.
    23. Johnson, Matthew T., 2013. "The impact of business cycle fluctuations on graduate school enrollment," Economics of Education Review, Elsevier, vol. 34(C), pages 122-134.
    24. Montgomery, Mark, 2002. "A nested logit model of the choice of a graduate business school," Economics of Education Review, Elsevier, vol. 21(5), pages 471-480, October.
    25. Fernando Furquim & Kristen M. Glasener, 2017. "A Quest for Equity? Measuring the Effect of QuestBridge on Economic Diversity at Selective Institutions," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(6), pages 646-671, September.
    26. Bedard, Kelly & Herman, Douglas A., 2008. "Who goes to graduate/professional school? The importance of economic fluctuations, undergraduate field, and ability," Economics of Education Review, Elsevier, vol. 27(2), pages 197-210, April.
    Full references (including those not matched with items on IDEAS)

    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. Annika C. Froehlich, 2016. "Does the curricular structure affect doctoral enrolment?," Journal of Business Economics, Springer, vol. 86(9), pages 1067-1089, December.
    2. Reinhard A. Weisser, 2020. "How Personality Shapes Study Location Choices," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(1), pages 88-116, February.
    3. Elizabeth Moorhouse, 2023. "The Representation of Women as Post-Secondary Graduates and the Role of Educational Systems: Evidence From 51 Countries," The American Economist, Sage Publications, vol. 68(1), pages 74-99, March.
    4. Jósef Sigurdsson, 2023. "Transitory Earnings Opportunities and Educational Scarring of Men," CESifo Working Paper Series 10361, CESifo.
    5. Barbara Sadaba & Sunčica Vujič & Sofia Maier, 2020. "Cyclicality of Schooling: New Evidence from Unobserved Components Models," Staff Working Papers 20-38, Bank of Canada.
    6. Sadaba, Barbara & Vujić, Sunčica & Maier, Sofia, 2024. "Characterizing the schooling cycle," Economic Modelling, Elsevier, vol. 132(C).
    7. Qiao Wen, 2022. "Estimating Education and Labor Market Consequences of China’s Higher Education Expansion," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    8. Joseph G. Altonji & Peter Arcidiacono & Arnaud Maurel, 2015. "The Analysis of Field Choice in College and Graduate School: Determinants and Wage Effects," NBER Working Papers 21655, National Bureau of Economic Research, Inc.
    9. Jin Chen & Don Hossler, 2017. "The Effects of Financial Aid on College Success of Two-Year Beginning Nontraditional Students," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(1), pages 40-76, February.
    10. Sigurdsson, Jósef, 2023. "Transitory Earnings Opportunities and Educational Scarring of Men," IZA Discussion Papers 16050, Institute of Labor Economics (IZA).
    11. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1109-1139, August.
    12. Michael J. Kottelenberg & Steven F. Lehrer, 2019. "How Skills and Parental Valuation of Education Influence Human Capital Acquisition and Early Labor Market Return to Human Capital in Canada," Journal of Labor Economics, University of Chicago Press, vol. 37(S2), pages 735-778.
    13. Bednar, Steven & Gicheva, Dora, 2013. "Tax benefits for graduate education: Incentives for whom?," Economics of Education Review, Elsevier, vol. 36(C), pages 181-197.
    14. Erica Blom & Brian C. Cadena & Benjamin J. Keys, 2021. "Investment over the Business Cycle: Insights from College Major Choice," Journal of Labor Economics, University of Chicago Press, vol. 39(4), pages 1043-1082.
    15. Brenøe, Anne Ardila & Lundberg, Shelly, 2018. "Gender gaps in the effects of childhood family environment: Do they persist into adulthood?," European Economic Review, Elsevier, vol. 109(C), pages 42-62.
    16. Golsteyn, Bart H.H. & Schils, Trudie, 2014. "Gender gaps in primary school achievement," Economics of Education Review, Elsevier, vol. 41(C), pages 176-187.
    17. Benjamin T. Skinner, 2019. "Choosing College in the 2000s: An Updated Analysis Using the Conditional Logistic Choice Model," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(2), pages 153-183, March.
    18. Lei, Ziteng & Lundberg, Shelly, 2020. "Vulnerable Boys: Short-term and Long-term Gender Differences in the Impacts of Adolescent Disadvantage," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 424-448.
    19. Andrew J. Bibler, 2020. "Household Composition and Gender Differences in Parental Time Investments," Demography, Springer;Population Association of America (PAA), vol. 57(4), pages 1415-1435, August.
    20. Fumihiko Suga, 2020. "The returns to postgraduate education in Japan," The Japanese Economic Review, Springer, vol. 71(4), pages 571-596, October.

    More about this item

    Keywords

    Brazilian education; graduate education; inequity of access; conditional logit.;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:pra:mprapa:96310. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.