IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp16585.html
   My bibliography  Save this paper

College Attrition and the Dynamics of Information Revelation

Author

Listed:
  • Arcidiacono, Peter

    (Duke University)

  • Aucejo, Esteban

    (London School of Economics)

  • Maurel, Arnaud

    (Duke University)

  • Ransom, Tyler

    (University of Oklahoma)

Abstract

We examine how informational frictions impact schooling and work outcomes. To do so, we estimate a dynamic structural model where individuals face uncertainty about their academic ability and productivity, which respectively determine their schooling utility and wages. Our framework accounts for heterogeneity in college types and majors, as well as occupational search frictions and work hours. Individuals learn from grades and wages in a correlated manner, and may change their choices as a result. Removing informational frictions would increase the college graduation rate by 4.4 percentage points, which would increase further by 2 percentage points in the absence of search frictions. Providing students with full information about their abilities would also result in large increases in the college and white-collar wage premia, while reducing the college graduation gap by family income.

Suggested Citation

  • Arcidiacono, Peter & Aucejo, Esteban & Maurel, Arnaud & Ransom, Tyler, 2023. "College Attrition and the Dynamics of Information Revelation," IZA Discussion Papers 16585, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp16585
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp16585.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Stratton, Leslie S. & O'Toole, Dennis M. & Wetzel, James N., 2008. "A multinomial logit model of college stopout and dropout behavior," Economics of Education Review, Elsevier, vol. 27(3), pages 319-331, June.
    2. Hansen, Karsten T. & Heckman, James J. & Mullen, K.J.Kathleen J., 2004. "The effect of schooling and ability on achievement test scores," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 39-98.
    3. 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.
    4. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444606, September.
    5. 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).
    6. Carl Sanders, 2012. "Skill Uncertainty, Skill Accumulation, and Occupational Choice," 2012 Meeting Papers 633, Society for Economic Dynamics.
    7. Tauchen, George, 1986. "Finite state markov-chain approximations to univariate and vector autoregressions," Economics Letters, Elsevier, vol. 20(2), pages 177-181.
    8. Jonathan James, 2011. "Ability matching and occupational choice," Working Papers (Old Series) 1125, Federal Reserve Bank of Cleveland.
    9. Hastings, Justine S. & Neilson, Christopher A. & Ramirez, Anely & Zimmerman, Seth D., 2016. "(Un)informed college and major choice: Evidence from linked survey and administrative data," Economics of Education Review, Elsevier, vol. 51(C), pages 136-151.
    10. Ralph Stinebrickner & Todd Stinebrickner, 2014. "Academic Performance and College Dropout: Using Longitudinal Expectations Data to Estimate a Learning Model," Journal of Labor Economics, University of Chicago Press, vol. 32(3), pages 601-644.
    11. Ralph Stinebrickner & Todd R. Stinebrickner, 2003. "Working during School and Academic Performance," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 449-472, April.
    12. James J. Heckman & Stefano Mosso, 2014. "The Economics of Human Development and Social Mobility," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 689-733, August.
    13. Matthew Wiswall & Basit Zafar, 2018. "Preference for the Workplace, Investment in Human Capital, and Gender," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 457-507.
    14. Pugatch, Todd, 2012. "Bumpy Rides: School to Work Transitions in South Africa," IZA Discussion Papers 6305, Institute of Labor Economics (IZA).
    15. Adda & Dustmann, 2004. "Career Progression and Formal versus on the Job Training," Econometric Society 2004 North American Winter Meetings 492, Econometric Society.
    16. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
    17. 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.
    18. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444590, September.
    19. Audrey Light & Wayne Strayer, 2000. "Determinants of College Completion: School Quality or Student Ability?," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 299-332.
    20. Josh Kinsler & Ronni Pavan, 2015. "The Specificity of General Human Capital: Evidence from College Major Choice," Journal of Labor Economics, University of Chicago Press, vol. 33(4), pages 933-972.
    21. Kate Antonovics & Limor Golan, 2012. "Experimentation and Job Choice," Journal of Labor Economics, University of Chicago Press, vol. 30(2), pages 333-366.
    22. Jared Ashworth & V. Joseph Hotz & Arnaud Maurel & Tyler Ransom, 2021. "Changes across Cohorts in Wage Returns to Schooling and Early Work Experiences," Journal of Labor Economics, University of Chicago Press, vol. 39(4), pages 931-964.
    23. Matthew Wiswall & Basit Zafar, 2016. "Preference for the Workplace, Human Capital, and Gender," NBER Working Papers 22173, National Bureau of Economic Research, Inc.
    24. Matthew Wiswall & Basit Zafar, 2015. "Determinants of College Major Choice: Identification using an Information Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 791-824.
    25. Bobba, Matteo & Frisancho, Veronica & Pariguana, Marco, 2016. "Perceived Ability and School Choices: Experimental Evidence and Scale-up Effects," TSE Working Papers 16-660, Toulouse School of Economics (TSE), revised Jul 2024.
    26. Ralph Stinebrickner & Todd R. Stinebrickner, 2014. "A Major in Science? Initial Beliefs and Final Outcomes for College Major and Dropout," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(1), pages 426-472.
    27. Peter Arcidiacono & Patrick Bayer & Aurel Hizmo, 2010. "Beyond Signaling and Human Capital: Education and the Revelation of Ability," American Economic Journal: Applied Economics, American Economic Association, vol. 2(4), pages 76-104, October.
    28. Heckman, James & Layne-Farrar, Anne & Todd, Petra, 1996. "Human Capital Pricing Equations with an Application to Estimating the Effect of Schooling Quality on Earnings," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 562-610, November.
    29. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    30. Peter Arcidiacono & John Bailey Jones, 2003. "Finite Mixture Distributions, Sequential Likelihood and the EM Algorithm," Econometrica, Econometric Society, vol. 71(3), pages 933-946, May.
    31. Keane, Michael P & Wolpin, Kenneth I, 2000. "Eliminating Race Differences in School Attainment and Labor Market Success," Journal of Labor Economics, University of Chicago Press, vol. 18(4), pages 614-652, October.
    32. John Bound & Michael F. Lovenheim & Sarah Turner, 2010. "Why Have College Completion Rates Declined? An Analysis of Changing Student Preparation and Collegiate Resources," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 129-157, July.
    33. Peter Arcidiacono, 2005. "Affirmative Action in Higher Education: How Do Admission and Financial Aid Rules Affect Future Earnings?," Econometrica, Econometric Society, vol. 73(5), pages 1477-1524, September.
    34. Magali Beffy & Denis Fougère & Arnaud Maurel, 2012. "Choosing the Field of Study in Postsecondary Education: Do Expected Earnings Matter?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 334-347, February.
    35. Altonji, Joseph G, 1993. "The Demand for and Return to Education When Education Outcomes Are Uncertain," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 48-83, January.
    36. Peter Arcidiacono & Robert A. Miller, 2011. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 79(6), pages 1823-1867, November.
    37. Matthew T. Johnson, 2013. "Borrowing Constraints, College Enrollment, and Delayed Entry," Mathematica Policy Research Reports 57fc00235c3a47ff92cb253f9, Mathematica Policy Research.
    38. Kevin M. Stange, 2012. "An Empirical Investigation of the Option Value of College Enrollment," American Economic Journal: Applied Economics, American Economic Association, vol. 4(1), pages 49-84, January.
    39. Keane, Michael P & Wolpin, Kenneth I, 2001. "The Effect of Parental Transfers and Borrowing Constraints on Educational Attainment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 1051-1103, November.
    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. Fernando Saltiel, 2019. "What's Math Got to Do With It? Multidimensional Ability and the Gender Gap in STEM," 2019 Meeting Papers 1201, Society for Economic Dynamics.
    2. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2022. "The determinants of university dropout: A review of the socio-economic literature," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    3. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2018. "The Economics of University Dropouts and Delayed Graduation: A Survey," IZA Discussion Papers 11421, Institute of Labor Economics (IZA).
    4. Johannes S. Kunz & Kevin E. Staub, 2016. "Subjective completion beliefs and the demand for post-secondary education," ECON - Working Papers 218, Department of Economics - University of Zurich.
    5. 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.
    6. Ralph Stinebrickner & Todd Stinebrickner, 2014. "Academic Performance and College Dropout: Using Longitudinal Expectations Data to Estimate a Learning Model," Journal of Labor Economics, University of Chicago Press, vol. 32(3), pages 601-644.
    7. Kunz, Johannes S. & Staub, Kevin E., 2020. "Early subjective completion beliefs and the demand for post-secondary education," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 34-55.
    8. Magali Beffy & Denis Fougère & Arnaud Maurel, 2012. "Choosing the Field of Study in Postsecondary Education: Do Expected Earnings Matter?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 334-347, February.
    9. Lars Kirkebøen & Edwin Leuven & Magne Mogstad, 2014. "Field of Study, Earnings, and Self-Selection," NBER Working Papers 20816, National Bureau of Economic Research, Inc.
    10. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    11. Fossen, Frank M. & Glocker, Daniela, 2017. "Stated and revealed heterogeneous risk preferences in educational choice," European Economic Review, Elsevier, vol. 97(C), pages 1-25.
    12. 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.
    13. Elena Mattana & Juanna Joensen, 2014. "Student Aid, Academic Achievement, and Labor Market Behavior: Grants or Loans?," 2014 Meeting Papers 707, Society for Economic Dynamics.
    14. Arcidiacono, Peter & Hotz, V. Joseph & Maurel, Arnaud & Romano, Teresa, 2014. "Recovering Ex Ante Returns and Preferences for Occupations using Subjective Expectations Data," IZA Discussion Papers 8549, Institute of Labor Economics (IZA).
    15. 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.
    16. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    17. 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.
    18. Arpita Patnaik & Matthew J. Wiswall & Basit Zafar, 2020. "College Majors," NBER Working Papers 27645, National Bureau of Economic Research, Inc.
    19. Elena Mattana & Juanna Joensen, 2016. "Student Aid, Academic Achievement, and Labor Market Behavior," 2016 Meeting Papers 1102, Society for Economic Dynamics.
    20. Jiang, Xuan, 2018. "Planting the Seeds for Success: Why Women in STEM Do Not Stick in the Field," MPRA Paper 89650, University Library of Munich, Germany.

    More about this item

    Keywords

    college dropout; dynamic discrete choice; learning; human capital;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • 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:dp16585. 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.