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Losing HOPE

Losing HOPE. Financial Aid and the Line Between College and Work February 2013 Celeste K. Carruthers and Umut Ozek University of Tennessee and AIR/CALDER. Essential Questions. Financial aid has been shown to increase college enrollment, persistence, and graduation 1

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Losing HOPE

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  1. Losing HOPE Financial Aid and the Line Between College and Work February 2013 Celeste K. Carruthers and Umut Ozek University of Tennessee and AIR/CALDER

  2. Essential Questions • Financial aid has been shown to increase college enrollment, persistence, and graduation1 • Caveat: results are not universal2 • Why is financial aid important for students? • Why do students work so hard to avoid losing aid? 3 • Non-pecuniary loss aversion? • Financial need? 1Dynarski 2000,2003; Deming & Dynarski 2009; Scott-Clayton 2011; Castleman & Long 2012 2 Hansen 1983; Cohodes & Goodman 2012; Sjoquist & Winters 2012 3 Cornwell et al. 2005; Scott-Clayton 2011

  3. Contributions • To date, we know that students who lose Georgia's HOPE accumulate fewer credits and receive fewer degrees (Henry et al. 2004) and tend to be concentrated in more technical majors (Dee & Jackson 1999). • We provide the first causal evidence of students' college/work substitution patterns in the wake of losing financial aid. • Preview: less college, more work • Beyond the scope of this paper: normative statements on optimal scholarship retention policies.

  4. The Tennessee HOPE scholarship • Financed by the state lottery • First available to fall 2004 freshman (and some sophomores) • Up to $4,000/year grant for four-year students, $2,000 for two-year students • Low eligibility threshold and (comparatively) high renewal threshold. • Renewed with continuous enrollment, GPA of 2.75 after 24 hours, 3.0 after 48, 72, and 96 hours. • About 1/2 of HOPE scholars lose their scholarship midway through college.

  5. Data • Administrative records for 2003-2006 entering cohorts in Tennessee two-year and four-year institutions, followed through fall 2008. • Scholarship status, credits attempted per term, major(s), college GPA, demographics, distance from permanent address. • Merged with FAFSA and ACT records for income and ACT controls. • Merged with quarterly earnings data for every quarter (enrolled or not), 2003-2008. • Merged with full-time undergraduate tuition and fees (IPEDS).

  6. Descriptive Statistics

  7. Descriptive Statistics

  8. Empirical Strategy • 1(losthopeit) – equal to one in semesters after HOPE loss. • η1(t-t0)*1(beforeit) + η2(t-t0)*1(afterit)- local linear function of time until/since HOPE loss • βt*GPAit- college GPA, effect allowed to vary by t • αi, αt- individual and semester sequence FE • Zitγ- time-varying student and institution controls, linear time trend.

  9. Empirical Strategy • Hit - value of HOPE scholarship in 2005$.

  10. Identifying Variation in HOPE • 2004-2006 cohorts • Deviations from mean HOPE status or value, across and within students. • Within-student, across αt. • Within-semester sequence, across αi • Within-student variation is from the failure to renew HOPE. • 2003 cohort • Deviations from mean HOPE status or value, across and within students. • This cohort was eligible to gain HOPE in 2004, then held to renewal standards thereafter.

  11. Internal Validity Challenges • Students who lose HOPE are of lower ability. • αicontrols for this class of heterogeneity. • Students about to lose HOPE are on Yit trajectories that confound treatment with other factors. • η1(t-t0)*1(beforeit) + η2(t-t0)*1(afterit) controls for pre-loss and post-loss trends common to students who lose the scholarship. • Typically, GPA starts low and climbs just before HOPE loss.

  12. College GPA before and after HOPE loss

  13. Credits attempted before and after HOPE loss (regression-adjusted)

  14. Exit rates before and after HOPE loss (regression-adjusted)

  15. Results – 2004-2006 cohorts

  16. The impact of HOPE loss versus an equivalent tuition increase on attempted credits

  17. Results – 2004-2006 cohorts

  18. Results – 2004-2006 cohorts

  19. Results – 2003 cohort

  20. Inference • For students who stay in college after HOPE, the first term without HOPE is associated with • 0.996 fewer credits (7.6% of the mean) • $170 additional earnings (6.4% of the mean) • 5.4 ppt higher likelihood of not declaring a major (23.2% of the mean) • Little to no impact on labor force participation. • Extensive margin impacts appear much stronger than intensive margin impacts. • In the first term without HOPE, there is a 7.0 ppt higher likelihood of exiting college for the workforce without a degree (58.8% of the mean exit rate)

  21. Heterogeneous Impacts of Losing HOPE: 2004-2006 cohorts

  22. Conclusions • Loss of financial aid decreases engagement with college and shifts the college/work margin towards work. • Attempted hours decrease. • The likelihood of declaring a major decreases. • Earnings increase. • The propensity to leave college increases. • Findings are pronounced for the lower-income half of students, and for students who start in two-year colleges. • Implications: money matters, especially at the extensive margin of college enrollment.

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