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Post-purchase Federal Financial Aid: How (in)Effective is the IRS’s Student Loan Interest Deduction (SLID) in Reaching Lower-Income Taxpayers and Students?

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  • Manuel S. González Canché

    (University of Pennsylvania)

Abstract

Federal financial aid policies for higher education may be classified based on their “for-purchase” and “post-purchase” natures. The former include grants, loans, and workstudy and intend to help students finance or afford college attendance, persistence, and graduation. Post-purchase policies are designed to minimize financial burdens associated with having invested in college attendance and are granted as tax incentives/expenditures. One of these expenditures is the IRS’s Student Loan Interest Deduction (SLID)—which offers up to $2500 as an adjustment for taxable income based on having paid interest on student loans and has an annual cost of $12.81 billion—about 45.7% of the Pell grant cost. Despite this high cost, SLID has remained virtually unstudied. Accordingly, the study’s purpose is to assess how (in)effective SLID may be in reaching lower-income taxpayers. To address this purpose, we relied on an innovative analytic framework “multilevel modelling with spatial interaction effects” that allowed controlling for contextual and systemic observed and unobserved factors that may both affect college participation and may be related with SLID disbursements over and above income prospects. Data sources included the IRS, ACS, FBI, IPEDS, and the NPSAS:2015–2016. Findings revealed that SLID is regressive at the top, wealthier taxpayers and students attending more expensive colleges realize higher tax benefits than lower income taxpayers and students. Indeed, 75% of community college students were found to not be eligible to receive SLID—data and replication code ( https://cutt.ly/COyfdKC ) are provided. Is this the best use of this multibillion tax incentive? Is SLID designed to exclude the poorest, neediest students? A policy similar to Education Credits, focused on outstanding debt rather than on interest, that targets below-poverty line students with up to $5000 in debt, would represent a true commitment, and better use of public funds, to close socioeconomic gaps, by helping those more prone to default.

Suggested Citation

  • Manuel S. González Canché, 2022. "Post-purchase Federal Financial Aid: How (in)Effective is the IRS’s Student Loan Interest Deduction (SLID) in Reaching Lower-Income Taxpayers and Students?," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(6), pages 933-986, September.
  • Handle: RePEc:spr:reihed:v:63:y:2022:i:6:d:10.1007_s11162-021-09672-6
    DOI: 10.1007/s11162-021-09672-6
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    1. Day Manoli & Nicholas Turner, 2018. "Cash-on-Hand and College Enrollment: Evidence from Population Tax Data and the Earned Income Tax Credit," American Economic Journal: Economic Policy, American Economic Association, vol. 10(2), pages 242-271, May.
    2. Jeffrey T. Denning & Benjamin M. Marx & Lesley J. Turner, 2019. "ProPelled: The Effects of Grants on Graduation, Earnings, and Welfare," American Economic Journal: Applied Economics, American Economic Association, vol. 11(3), pages 193-224, July.
    3. Jason C. Lee & Erin B. Ciarimboli & Paul G. Rubin & Manuel S. González Canché, 2020. "Borrowing Smarter or Borrowing More? Investigating the Effects of a Change in Federal Loan Policy," The Journal of Higher Education, Taylor & Francis Journals, vol. 91(4), pages 483-513, June.
    4. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
    5. Dynarski, Susan M. & Scott–Clayton, Judith E., 2006. "The Cost of Complexity in Federal Student Aid: Lessons From Optimal Tax Theory and Behavioral Economics," National Tax Journal, National Tax Association;National Tax Journal, vol. 59(2), pages 319-356, June.
    6. Peter Bergman & Jeffrey T. Denning & Dayanand Manoli, 2019. "Is Information Enough? The Effect of Information about Education Tax Benefits on Student Outcomes," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 38(3), pages 706-731, June.
    7. Hoxby, Caroline M. & Bulman, George B., 2016. "The effects of the tax deduction for postsecondary tuition: Implications for structuring tax-based aid," Economics of Education Review, Elsevier, vol. 51(C), pages 23-60.
    8. Rosen, Harvey S., 1985. "Housing subsidies: Effects on housing decisions, efficiency, and equity," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 1, chapter 7, pages 375-420, Elsevier.
    9. Jin Li & Maggie Tran & Justy Siwabessy, 2016. "Selecting Optimal Random Forest Predictive Models: A Case Study on Predicting the Spatial Distribution of Seabed Hardness," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-29, February.
    10. Poterba, James M., 2011. "Introduction: Economic Analysis of Tax Expenditures," National Tax Journal, National Tax Association;National Tax Journal, vol. 64(2), pages 451-457, June.
    11. Rothstein, Jesse & Rouse, Cecilia Elena, 2011. "Constrained after college: Student loans and early-career occupational choices," Journal of Public Economics, Elsevier, vol. 95(1-2), pages 149-163, February.
    12. Raj Chetty & John N. Friedman & Nathaniel Hendren & Maggie R. Jones & Sonya R. Porter, 2018. "The Opportunity Atlas: Mapping the Childhood Roots of Social Mobility," Working Papers 18-42, Center for Economic Studies, U.S. Census Bureau.
    13. Kursa, Miron B. & Rudnicki, Witold R., 2010. "Feature Selection with the Boruta Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i11).
    14. Karen L. Webber & Rachel Burns, 2021. "Increases in Graduate Student Debt in the US: 2000 to 2016," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(5), pages 709-732, August.
    15. James M. Poterba, 2011. "Economic Analysis of Tax Expenditures," NBER Books, National Bureau of Economic Research, Inc, number pote08-2, March.
    16. 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.
    17. repec:mpr:mprres:7891 is not listed on IDEAS
    18. Burdman, Pamela, 2005. "The Student Debt Dilemma: Debt Aversion as a Barrier to College Access," University of California at Berkeley, Center for Studies in Higher Education qt6sp9787j, Center for Studies in Higher Education, UC Berkeley.
    19. Matthew T. Johnson, 2013. "Borrowing Constraints, College Enrollment, and Delayed Entry," Mathematica Policy Research Reports 57fc00235c3a47ff92cb253f9, Mathematica Policy Research.
    20. Dongbin Kim & Cindy Otts, 2010. "The Effect of Loans on Time to Doctorate Degree: Differences by Race/Ethnicity, Field of Study, and Institutional Characteristics," The Journal of Higher Education, Taylor & Francis Journals, vol. 81(1), pages 1-32, January.
    21. Guanpeng Dong & Richard Harris & Kelvyn Jones & Jianhui Yu, 2015. "Multilevel Modelling with Spatial Interaction Effects with Application to an Emerging Land Market in Beijing, China," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-18, June.
    22. Iriti, Jennifer & Page, Lindsay C. & Bickel, William E., 2018. "Place-based scholarships: Catalysts for systems reform to improve postsecondary attainment," International Journal of Educational Development, Elsevier, vol. 58(C), pages 137-148.
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