Despite high prices, many college students do not re-file the Free Application for Federal Student Aid (FAFSA) or file late, making college less affordable. Low-cost technological interventions delivering personalized information and/or advising may improve refiling and academic outcomes, but questions remain regarding the efficacy of this approach at scale. This multi-pronged randomized experiment tested informational and framing text message interventions for a national sample of approximately 10,000 undergraduates. The text outreach caused earlier FAFSA re-filing for some students. However, gains in re-filing during the active intervention period were not sustained after the intervention concluded and did not translate into additional federal financial aid or improved postsecondary persistence or attainment. Implications for the scaling and targeting of nudging are discussed.
AshrafN.KarlanD.YinW. (2006). Tying Odysseus to the mast: Evidence from a commitment savings product in the Philippines. The Quarterly Journal of Economics, 121(2), 635–672. https://www.jstor.org/stable/25098802
2.
AveryC.CastlemanB. L.HurwitzM.LongB. T.PageL. C. (2021). Digital messaging to improve college enrollment and success. Economics of Education Review, 84, 102170. https://doi.org/10.1016/j.econedurev.2021.102170
3.
BarrA.CastlemanB. (2021). The bottom line on college advising: Large increases in degree attainment (EdWorkingPaper: 21-481). Annenberg Institute at Brown University. https://doi.org/10.26300/xdsa-5e22
4.
BarrA.TurnerS. (2018). A letter and encouragement: Does information increase postsecondary enrollment of UI recipients?American Economic Journal, 10(3), 42–68.
5.
BettingerE. P.LongB. T. (2017). Connecting students with financial aid. The American Economic Association’s registry for randomized controlled trials [AEA RCT Registry]. https://doi.org/10.1257/rct.2012-1.0
6.
BettingerE. P.LongB. T.OreopoulosP.SanbonmatsuL. (2012). The role of application assistance and information in college decisions: Results from the H&R Block FAFSA experiment. The Quarterly Journal of Economics, 127(3), 1205–1242. https://doi.org/10.1093/qje/qjs017
7.
BettingerE. P.BakerR. B. (2014). The effects of student coaching: An evaluation of a randomized experiment in student advising. Educational Evaluation and Policy Analysis, 36(1), 3–19.
8.
BhargavaS.ManoliD. (2015). Psychological frictions and the incomplete take-up of social benefits: Evidence from an IRS field experiment. American Economic Review, 105(11), 3489–3529.
9.
BirdK. A.CastlemanB. L. (2016). Here today, gone tomorrow? Investigating rates and patterns of financial aid renewal among college freshmen. Research in Higher Education, 57(4), 395–422.
10.
BirdK. A.CastlemanB. L.DenningJ. T.GoodmanJ.LambertonC.RosingerK. O. (2021). Nudging at scale: Experimental evidence from FAFSA completion campaigns. Journal of Economic Behavior and Organization, 183, 105–128.
CannonR.Goldrick-RabS. (2016). Too late? Too little: The timing of financial aid applications (Working Paper). Wisconsin HOPE Lab.
13.
CastlemanB. L.PageL. C. (2014). A trickle or a torrent? Understanding the extent of summer “melt” among college-intending high school graduates. Social Science Quarterly, 95(1), 202–220.
14.
CastlemanB. L.PageL. C. (2015). Summer nudging: Can personalized text messages and peer mentor outreach increase college going among low-income high school graduates?Journal of Economic Behavior and Organization, 115, 144–160.
15.
CastlemanB. L.PageL. C. (2016). Freshman year financial aid nudges: An experiment to increase financial aid renewal and sophomore year persistence. Journal of Human Resources, 51(2), 389–415.
DenningJ. T.MarxB. M.TurnerL. J. (2019). ProPelled: The effects of grants on graduation, earnings, and welfare. American Economic Journal, 11(3), 193–224.
18.
DynarskiS.WiederspanM. (2012). Student aid simplification: Looking back and looking ahead. National Tax Journal, 65(1), 211–234. https://doi.org/10.17310/ntj.2012.1.08
19.
EngA.MatsudairaJ. (2021). Pell grants and student success: Evidence from the universe of federal aid recipients. Journal of Labor Economics, 39(S2), S413–S454.
20.
FinkelsteinA.NotowidigdoM. J. (2019). Take-up and targeting: Experimental evidence from SNAP. The Quarterly Journal of Economics, 134(3), 1505–1556.
21.
Goldrick-RabS.KelchenR.HarrisD. N.BensonJ. (2016). Reducing income inequality in educational attainment: Experimental evidence on the impact of financial aid on college completion. American Journal of Sociology, 121(6), 1762–1817.
22.
HemmeterJ.PhillipsJ.SafranE.WilsonN. (2020). Communicating program eligibility: A Supplemental Security Income (SSI) field experiment. U.S. General Services Administration.
23.
HoxbyC.TurnerS. (2013). Expanding college opportunities for high-achieving, low income students: Intervention yields strong returns for low-income high-achievers. Education Next, 13(4), 66–73.
24.
JohnstonK. L.WhiteK. M. (2003). Binge-drinking: A test of the role of group norms in the theory of planned behaviour. Psychology and Health, 18(1), 63–77. https://doi.org/10.1080/0887044021000037835
25.
KellyA. P.Goldrick-RabS. (2014). Reinventing financial aid: Charting a new course to college affordability. Harvard Education Press.
26.
McKinneyL.NovakH. (2015). FAFSA filing among first-year college students: Who files on time, who doesn’t, and why does it matter?Research in Higher Education, 56(1), 1–28. https://www.jstor.org/stable/24571972
27.
MeyerK.PageL. C.SmithE.WalshB. T.FifieldC. L.EvansM. (2022). Let’s chat: Chatbot nudging for improved course performance (EdWorkingPaper: 22-564). Annenberg Institute at Brown University. https://doi.org/10.26300/es6b-sm82
NovakH.McKinneyL. (2011). The consequences of leaving money on the table: Examining the persistence of first-year students who do not file a FAFSA. Journal of Student Financial Aid, 41(3), 5–23. https://ir.library.louisville.edu/jsfa/vol41/iss3/1
30.
OreopoulosP.PetronijevicU. (2019). The remarkable unresponsiveness of college students to nudging and what we can learn from it (No. w26059). National Bureau of Economic Research.
31.
PageL. C.CastlemanB. L.MeyerK. (2020). Customized nudging to improve FAFSA completion and income verification. Educational Evaluation and Policy Analysis, 42(1), 3–21.
32.
PageL. C.GehlbachH. (2017). How an artificially intelligent virtual assistant helps students navigate the road to college. AERA Open, 3(4), 1–12.
33.
PageL. C.Scott-ClaytonJ. (2016). Improving college access in the United States: Barriers and policy responses. Economics of Education Review, 51, 4–22.
34.
PageL. C.LeeJ.GehlbachH. (2020). Conditions under which college students can be responsive to nudging. EdWorkingPapers.com (2020).
35.
PattersonR. W. (2018). Can behavioral tools improve online student outcomes? Experimental evidence from a massive open online course. Journal of Economic Behavior & Organization, 153, 293–321.
36.
PerkinsH. W. (2002). Social norms and the prevention of alcohol misuse in collegiate contexts. Journal of Studies on Alcohol and Drugs, Supplement, 14, 164–172. https://doi.org/10.15288/jsas.2002.s14.164
37.
RobinsonC. D.PonsG. A.DuckworthA. L.RogersT. (2018). Some middle school students want behavior commitment devices (but take-up does not affect their behavior). Frontiers in Psychology, 9, Article 206.
38.
RogersT.MilkmanK. L.VolppK. G. (2014). Commitment devices: Using initiatives to change behavior. Journal of the American Medical Association, 311, 2065–2066. https://doi.org/10.1001/jama.2014.3485
39.
SacerdoteB. (2001). Peer effects with random assignment: Results for Dartmouth roommates. The Quarterly Journal of Economics, 116(2), 681–704.
40.
ScrivenerS.WeissM. J.RatledgeA.RuddT.SommoC.FresquesH. (2015). Doubling graduation rates: Three-year effects of CUNY’s Accelerated Study in Associate Programs (ASAP) for developmental education students. The Manpower Demonstration Research Corporation.
41.
StinebricknerR.StinebricknerT. R. (2006). What can be learned about peer effects using college roommates? Evidence from new survey data and students from disadvantaged backgrounds. Journal of Public Economics, 90(8–9), 1435–1454. https://doi.org/10.1016/j.jpubeco.2006.03.002
42.
St JohnE. P.HuS.TuttleT. (2000). Persistence by undergraduates in an urban public university: Understanding the effects of financial aid. Journal of Student Financial Aid, 30(2), 23–37. https://eric.ed.gov/?id=EJ620058
43.
ThalerR.SunsteinC. R. (2009). Nudge: Improving decisions about health, wealth, and happiness. Penguin Books.
44.
White House Social and Behavioral Sciences Team. (2015). Social and Behavioral Sciences Team 2015 annual report. Executive Office of the President, National Science and Technology Council.
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