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Student aid, academic achievement, and labor market behavior

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  • Schrøter Joensen, Juanna

    (University of Chicago)

  • Mattana, Elena

    (Aarhus University)

Abstract

How does the financial aid allocation mechanism affect student behavior? We provide a framework for quantifying the impact of financial aid on student debt, academic capital, and labor market outcomes. We specify and estimate a dynamic discrete choice model of simultaneous education, work, and student loan take-up decisions. We use administrative panel data and exploit exogenous variation from the 2001 Swedish Study Aid reform to estimate the model. The reform reduced the cost of working while enrolled, resulting in a 14 percentage points increase in students working during the academic year. The reform also increased (decreased) the cost of borrowing for low (high) earners. This decreased the share of low expected earners not taking up student loans by 2 percentage points, and increased the share of high expected earners taking up the full loan by 2 percentage points. The estimated model enables ex-ante evaluation of various changes to financial aid packages. We find that front-loading debt repayment – by increasing income-contingency or shortening the loan repayment period – reduces debt and lowers academic capital accumulation as students finance more of the college cost by working and less by taking-up loans. Income-contingency of repayments exhibits and elasticity of -0.72 for debt and -0.14 for income at exit, but is marginally decreasing. Changing the grant/loan composition of aid has little impact on human capital accumulation, but large impacts on student debt. This means that the government largely can decide who bears the college cost without affecting human capital accumulation.

Suggested Citation

  • Schrøter Joensen, Juanna & Mattana, Elena, 2017. "Student aid, academic achievement, and labor market behavior," Working Paper Series 2017:27, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  • Handle: RePEc:hhs:ifauwp:2017_027
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    1. John Bound & Sarah Turner, 2007. "Understanding the Increased Time to the Baccalaureate Degree," Discussion Papers 06-043, Stanford Institute for Economic Policy Research.
    2. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    3. 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.
    4. Helena Skyt Nielsen & Torben Sørensen & Christopher Taber, 2010. "Estimating the Effect of Student Aid on College Enrollment: Evidence from a Government Grant Policy Reform," NBER Chapters, in: Income Taxation, Trans-Atlantic Public Economics Seminar (TAPES), pages 185-215, National Bureau of Economic Research, Inc.
    5. 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.
    6. 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.
    7. Pedro Carneiro & James J. Heckman, 2002. "The Evidence on Credit Constraints in Post--secondary Schooling," Economic Journal, Royal Economic Society, vol. 112(482), pages 705-734, October.
    8. V. Joseph Hotz & Robert A. Miller & Seth Sanders & Jeffrey Smith, 1994. "A Simulation Estimator for Dynamic Models of Discrete Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(2), pages 265-289.
    9. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    10. 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.
    11. Pietro Garibaldi & Francesco Giavazzi & Andrea Ichino & Enrico Rettore, 2012. "College Cost and Time to Complete a Degree: Evidence from Tuition Discontinuities," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 699-711, August.
    12. Ralph Stinebrickner & Todd Stinebrickner, 2008. "The Effect of Credit Constraints on the College Drop-Out Decision: A Direct Approach Using a New Panel Study," American Economic Review, American Economic Association, vol. 98(5), pages 2163-2184, December.
    13. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 497-529.
    14. Edwin Leuven & Hessel Oosterbeek & Bas van der Klaauw, 2010. "The Effect of Financial Rewards on Students' Achievement: Evidence from a Randomized Experiment," Journal of the European Economic Association, MIT Press, vol. 8(6), pages 1243-1265, December.
    15. Edwin Leuven & Hessel Oosterbeek & Bas van der Klaauw, 2010. "The Effect of Financial Rewards on Students' Achievement: Evidence from a Randomized Experiment," Journal of the European Economic Association, MIT Press, vol. 8(6), pages 1243-1265, December.
    16. Keane, Michael P & Wolpin, Kenneth I, 1994. "The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 648-672, November.
    17. Kane, Thomas J., 2006. "Public Intervention in Post-Secondary Education," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 23, pages 1369-1401, Elsevier.
    18. David Card & Dean R. Hyslop, 2005. "Estimating the Effects of a Time-Limited Earnings Subsidy for Welfare-Leavers," Econometrica, Econometric Society, vol. 73(6), pages 1723-1770, November.
    19. Philip Oreopoulos & Daniel Lang & Joshua Angrist, 2009. "Incentives and Services for College Achievement: Evidence from a Randomized Trial," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 136-163, January.
    20. Philippe Belley & Lance Lochner, 2007. "The Changing Role of Family Income and Ability in Determining Educational Achievement," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 37-89.
    21. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    22. Susan M. Dynarski, 2003. "Does Aid Matter? Measuring the Effect of Student Aid on College Attendance and Completion," American Economic Review, American Economic Association, vol. 93(1), pages 279-288, March.
    23. Orazio P. Attanasio & Costas Meghir & Ana Santiago, 2012. "Education Choices in Mexico: Using a Structural Model and a Randomized Experiment to Evaluate PROGRESA," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(1), pages 37-66.
    24. Avdic, Daniel & Gartell, Marie, 2015. "Working while studying? Student aid design and socioeconomic achievement disparities in higher education," Labour Economics, Elsevier, vol. 33(C), pages 26-40.
    25. 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.
    26. Matthew T. Johnson, 2013. "Borrowing Constraints, College Enrollment, and Delayed Entry," Journal of Labor Economics, University of Chicago Press, vol. 31(4), pages 669-725.
    27. 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.
    28. Kenneth I. Wolpin & Petra E. Todd, 2006. "Assessing the Impact of a School Subsidy Program in Mexico: Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility," American Economic Review, American Economic Association, vol. 96(5), pages 1384-1417, December.
    29. Rothstein, Jesse & Rouse, Cecilia Elena, 2011. "Constrained after college: Student loans and early-career occupational choices," Journal of Public Economics, Elsevier, vol. 95(1), pages 149-163.
    30. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
    31. Goodman, Joshua, 2008. "Who merits financial aid?: Massachusetts' Adams Scholarship," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 2121-2131, October.
    32. Joshua Angrist & Eric Bettinger & Erik Bloom & Elizabeth King & Michael Kremer, 2002. "Vouchers for Private Schooling in Colombia: Evidence from a Randomized Natural Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1535-1558, December.
    33. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    34. repec:mpr:mprres:7891 is not listed on IDEAS
    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. Alex Solis, 2017. "Credit Access and College Enrollment," Journal of Political Economy, University of Chicago Press, vol. 125(2), pages 562-622.
    38. 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).
    39. Susan Dynarski, 2008. "Building the Stock of College-Educated Labor," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 576-610.
    40. Eric Bettinger, 2004. "How Financial Aid Affects Persistence," NBER Chapters, in: College Choices: The Economics of Where to Go, When to Go, and How to Pay For It, pages 207-238, National Bureau of Economic Research, Inc.
    41. Black, Sandra E. & Devereux, Paul J., 2011. "Recent Developments in Intergenerational Mobility," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 16, pages 1487-1541, Elsevier.
    42. Keane, Michael P & Wolpin, Kenneth I, 1997. "The Career Decisions of Young Men," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 473-522, June.
    43. Cunha, Flavio & Heckman, James J. & Lochner, Lance, 2006. "Interpreting the Evidence on Life Cycle Skill Formation," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 12, pages 697-812, Elsevier.
    44. Meta Brown & John Karl Scholz & Ananth Seshadri, 2012. "A New Test of Borrowing Constraints for Education," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(2), pages 511-538.
    45. Richard Blundell & Andrew Shephard, 2012. "Employment, Hours of Work and the Optimal Taxation of Low-Income Families," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(2), pages 481-510.
    46. Matthew T. Johnson, 2013. "Borrowing Constraints, College Enrollment, and Delayed Entry," Mathematica Policy Research Reports 57fc00235c3a47ff92cb253f9, Mathematica Policy Research.
    47. Keane, Michael P. & Todd, Petra E. & Wolpin, Kenneth I., 2011. "The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 4, pages 331-461, Elsevier.
    48. Judith Scott-Clayton, 2011. "On Money and Motivation: A Quasi-Experimental Analysis of Financial Incentives for College Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 46(3), pages 614-646.
    49. Susan Dynarski & Judith Scott-Clayton, 2013. "Financial Aid Policy: Lessons from Research," NBER Working Papers 18710, National Bureau of Economic Research, Inc.
    50. Christopher Avery & Sarah Turner, 2012. "Student Loans: Do College Students Borrow Too Much--Or Not Enough?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 165-192, Winter.
    51. 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.
    52. Zvi Eckstein & Kenneth I. Wolpin, 1999. "Why Youths Drop Out of High School: The Impact of Preferences, Opportunities, and Abilities," Econometrica, Econometric Society, vol. 67(6), pages 1295-1340, November.
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    3. Berrak Bahadir & Dora Gicheva, 2022. "Macroeconomic Implications of Student Debt: A State‐Level Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(8), pages 2273-2300, December.
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    More about this item

    Keywords

    student aid; education and labor market outcomes; dynamic discrete choice;
    All these keywords.

    JEL classification:

    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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