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Does everyone accept a free lunch? Decision making under (almost) zero cost borrowing

Author

Listed:
  • Michael Insler

    (United States Naval Academy)

  • Pamela Schmitt

    (United States Naval Academy)

  • Jake Compton

    (United States Navy)

Abstract

We examine decision making by a group of college students who have the opportunity to take out a sizable, very low-interest, non-credit dependent loan which, if simply invested in low-risk assets, would effectively yield a free lunch in net interest earnings. We exploit this natural experiment to study the characteristics of those willing and unwilling to take the loan. We characterize the latter as debt averse, and for those who accept the loan, we also consider whether they anticipate repaying it early. In particular, we use simple linear and non-linear binary choice models to explore how these two decisions relate to individual and family demographics as well as socio-economic characteristics, personality traits (as measured by the Myers-Briggs Type Indicator), cognitive ability (as measured by the Cognitive Reflection Test), and intellectual ability (as measured by SAT scores and grade point average). We find no consistent relationships between debt aversion and intellectual ability or gender. Individuals willing to accept the loan tend to have prior debt, longer planning horizons, come from middle-income families, and may have higher cognitive ability.

Suggested Citation

  • Michael Insler & Pamela Schmitt & Jake Compton, 2013. "Does everyone accept a free lunch? Decision making under (almost) zero cost borrowing," Departmental Working Papers 42, United States Naval Academy Department of Economics.
  • Handle: RePEc:usn:usnawp:42
    as

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    File URL: http://www.usna.edu/EconDept/RePEc/usn/wp/usnawp42.pdf
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    References listed on IDEAS

    as
    1. Catherine C. Eckel & Cathleen Johnson & Claude Montmarquette & Christian Rojas, 2007. "Debt Aversion and the Demand for Loans for Postsecondary Education," Public Finance Review, , vol. 35(2), pages 233-262, March.
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    3. Vernon Gayle, 1996. "The determinants of student loan take-up in the United Kingdom: another gaze," Applied Economics Letters, Taylor & Francis Journals, vol. 3(1), pages 25-27.
    4. Shu Li & Chang-Jiang Liu, 2008. "Individual differences in a switch from risk-averse preferences for gains to risk-seeking preferences for losses: can personality variables predict the risk preferences?," Journal of Risk Research, Taylor & Francis Journals, vol. 11(5), pages 673-686, July.
    5. Wilson Bart J & Findlay David W. & Meehan James W. & Wellford Charissa & Schurter Karl, 2010. "An Experimental Analysis of the Demand for Payday Loans," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-31, October.
    6. Michael Insler & Pamela Schmitt & Jake Compton, 2013. "“Open line of credit:” Under no borrowing constraints, how do young adults invest?," Departmental Working Papers 41, United States Naval Academy Department of Economics.
    7. Doran, James S. & Peterson, David R. & Wright, Colby, 2010. "Confidence, opinions of market efficiency, and investment behavior of finance professors," Journal of Financial Markets, Elsevier, vol. 13(1), pages 174-195, February.
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