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Do income contingent student loans reduce labor supply?
Open accessAbstract
Government-backed income contingent student loans are increasingly being used to fund higher education. Until the outstanding balance is cleared, an income contingent repayment plan acts as an incremental marginal tax on earnings above a threshold. If this additional “tax” on earnings reduces the labor supply and hence the earnings of borrowers, this could reduce both loan repayments and tax receipts, increasing the cost of funding higher education. This paper investigates this under-studied topic by exploring bunching at various loan repayment thresholds between 2002 and 2014, using a novel, linked administrative dataset from the United Kingdom. Our findings suggest that the UK's income contingent repayment plan does not cause borrowers to reduce labor supply, at least for those with earnings near to the threshold.
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Cites
Does the Fear of Debt Deter Students from Higher Education?
CALLENDER, C., & JACKSON, J. (2005) · Journal of Social Policy · doi:10.1017/s004727940500913x · Cited by 287
Field, E. (2009) · American Economic Journal: Applied Economics · doi:10.1257/app.1.1.1 · Cited by 268
Research works printed but not linked: 27
- Adam, 2019, 35 years of reforms: A panel analysis of the incidence of, and employee and employer responses to, social security contributions in the UK, Journal of Public Economics, 171, 29, 10.1016/j.jpubeco.2018.05.010 · DOI
- Azmat, 2017, Higher education funding reforms: A comprehensive analysis of educational and labor market outcomes in England, CEPR Discussion Paper 12389
- Belfield, 2017, Higher education funding in England: Past, present and options for the future, Institute for Fiscal Studies. Retrieved October, 16, 2017
- Blomquist, 2017, “On bunching and identification of the taxable income elasticity.”, National Bureau of Economic Research
- Brewer, 2010, Means-testing and tax rates on earnings, Dimensions of Tax Design: The Mirrlees Review, 1
- Britton, 2019, Is improving access to university enough? Socio-economic gaps in the earnings of english graduates, Oxford Bulletin of Economics and Statistics, 2, 0305
- Britton, 2019, A comparison of sample survey measures of earnings of english graduates with administrative data, Journal of the Royal Statistical Society Series A (with Discussion), 182, 719, 10.1111/rssa.12382 · DOI
- Britton, 2019, Income contingent student loan design: Lessons from around the world, Economics of Education Review, 10.1016/j.econedurev.2018.06.001 · DOI
- Britton, J., van der Erve, L., & Shephard, N. G. (2019). Econometrics of valuing income contingent student loans using administrative data: groups of English students (No. W19/04). IFS Working Papers. · DOI
- Callender, 2017, Does student loan debt deter higher education participation? New evidence from England, The ANNALS of the American Academy of Political and Social Science, 671, 20, 10.1177/0002716217696041 · DOI
- Chapman, 2017, Conceptual and empirical issues for alternative student loan designs: The significance of loan repayment burdens for the United States, The Annals of the American Academy of Political and Social Science, 671, 249, 10.1177/0002716217703969 · DOI
- Chapman, 2009, Do very high tax rates induce bunching? Implications for the design of income contingent loan schemes*, Economic Record, 85, 276, 10.1111/j.1475-4932.2009.00554.x · DOI
- Chetty, 2012, Bounds on elasticities with optimization frictions: A synthesis of micro and macro evidence on labor supply, Econometrica, 80, 969, 10.3982/ECTA9043 · DOI
- Chetty, 2013, Using differences in knowledge across neighborhoods to uncover the impacts of the EITC on earnings, American Economic Review, 103, 2683, 10.1257/aer.103.7.2683 · DOI
- Denning, 2019, Maxed out? The effect of larger student loan limits on borrowing and education outcomes, Journal of Human Resources
- Gervais, 2019, Life after debt: Postgraduation consequences of federal student loans, Economic Inquiry, 57, 1342, 10.1111/ecin.12763 · DOI
- Gourio, 2014, Size-dependent regulations, firm size distribution, and reallocation, Quantitative Economics, 5, 377, 10.3982/QE338 · DOI
- Gruber, 2002, The elasticity of taxable income: Evidence and implications, Journal of Public Economics, 84, 1, 10.1016/S0047-2727(01)00085-8 · DOI · Paper page
- Kleven, 2016, Bunching, Annual Review of Economics, 8, 435, 10.1146/annurev-economics-080315-015234 · DOI
- Marx, 2019, Student loan nudges: Experimental evidence on borrowing and educational attainment, American Economic Journal: Economic Policy, 11, 108
- Piketty, 2014, Optimal taxation of top labor incomes: A tale of three elasticities, American Economic Journal: Economic Policy, 6, 230
- Rothstein, 2011, Constrained after College: Student loans and early-career occupational choices, Journal of Public Economics, 95, 149, 10.1016/j.jpubeco.2010.09.015 · DOI · Paper page
- Saez, 2010, Do taxpayers bunch at kink points?, American Economic Journal: Economic Policy, 2, 180
- Saez, 2012, The elasticity of taxable income with respect to marginal tax rates: A critical review, Journal of Economic Literature, 50, 3, 10.1257/jel.50.1.3 · DOI
- Sieg, 2018, The impact of student debt on education, career, and marriage choices of female lawyers, European Economic Review, 109, 124, 10.1016/j.euroecorev.2017.05.009 · DOI
- Solis, 2017, Credit access and college enrollment, Journal of Political Economy, 125, 562, 10.1086/690829 · DOI · Paper page
- Wiswall, 2015, Determinants of college major choice: Identification using an information experiment, The Review of Economic Studies, 82, 791, 10.1093/restud/rdu044 · DOI · Paper page
Cited by
Sorted by citations
The Distributional Effects of Student Loan Forgiveness
Catherine, S., & Yannelis, C. (2023) · Journal of Financial Economics · doi:10.1016/j.jfineco.2022.10.003 · Cited by 48
Metadata
- Authors
- Britton, J., & Gruber, J.
- Affiliations
- Institute for Fiscal Studies (GB)
- Corresponding author
- Britton, Jack
- ORCID
- Britton, Jack
- Venue
- Economics of Education Review
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 79
- Pages
- 102061
- ISSN
- 0272-7757 (ISSN-L)
- OpenAlex
- W3094687690
- Cited by
- 13
- References
- 2
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 2 · 2021: 1 · 2020: 1
- FWCI
- 0.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Economics of Education Review (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- British Academy
- Economic and Social Research Council
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Politics, Economics, and Education Policy
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Literacy, Pension, Retirement Analysis
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Keywords
- labor supply, bunching, income-contingent repayment, higher education funding
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