Is Working in College Worth It? How Hours on the Job Affect Postsecondary Outcomes

Abstract

Many students work during college to offset rising costs, but significant time on the job affects postsecondary outcomes. Analyzing the High School Longitudinal Study (N = 4,418), this article estimates the effects of hours worked on grades, credits earned, persistence, stopping out (i.e., unenrolling for 5 months before reenrolling), and dropping out. The polynomial regression analysis shows that after adjusting for background characteristics, prior academic achievement, institution types, and family obligations, “traditional” undergraduate students begin seeing deleterious effects at 20 hours, which becomes even more severe for those working 28+ hours (and the worst for Pell Grant recipients working long hours). While some work was good for students, on average, financial and family circumstances help explain the curvilinear relationships.

Keywords

work–study hours postsecondary performance higher education college persistence

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References

Altonji

J. G.

Elder

T. E.

Taber

C. R.

(2005). Selection on observed and unobserved variables: Assessing the effectiveness of Catholic schools. Journal of Political Economy, 113(1), 151–184. https://doi.org/10.1086/426036

Andrews

R. J.

Ranchhod

Sathy

(2010). Estimating the responsiveness of college applications to the likelihood of acceptance and financial assistance: Evidence from Texas. Economics of Education Review, 29(1), 104–115. https://doi.org/10.1016/j.econedurev.2009.04.004

Andrietti

Velasco

(2015). Lecture attendance, study time, and academic performance: A panel data study. The Journal of Economic Education, 46(3), 239–259. https://doi.org/10.1080/00220485.2015.1040182

Arulampalam

Naylor

R. A.

Smith

(2012). Am I missing something? The effects of absence from class on student performance. Economics of Education Review, 31(4), 363–375. https://doi.org/10.1016/j.econedurev.2011.12.002

Austin

P. C.

Stuart

E. A.

(2015). Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Statistics in Medicine, 34(28), 3661–3679. https://doi.org/10.1002/sim.6607

Avery

Turner

(2012). Student loans: Do college students borrow too much or not enough? Journal of Economic Perspectives, 26(1), 165–192. https://doi.org/10.1257/jep.26.1.165

Barr

Turner

S. E.

(2013). Expanding enrollments and contracting state budgets: The effect of the Great Recession on higher education. The ANNALS of the American Academy of Political and Social Science, 650(1), 168–193. https://doi.org/10.1177/0002716213500035

Baum

(2010). Student work and the financial aid system. In Perna

L. W.

(Ed.), Understanding the working college student: New research and its implications for policy and practice (pp. 3–22). Stylus Publishing.

Boatman

Evans

B. J.

Soliz

(2017). Understanding loan aversion in education: Evidence from high school seniors, community college students, and adults. AERA Open, 3(1), 1–16. https://doi.org/10.1177/2332858416683649

10.

Bozick

(2007). Making it through the first year of college: The role of students’ economic resources, employment, and living arrangements. Sociology of Education, 80(3), 261–285. https://doi.org/10.1177/003804070708000304

11.

Brantlinger

Turner

B. O. N.

Valenzuela

(2023). Ties that bind? The teaching and post-teaching trajectories of Black and Latino/a community insiders and elite college graduates. Educational Evaluation and Policy Analysis. Advance online publication. https://doi.org/10.3102/01623737231162583

12.

Brint

Cantwell

A. M.

(2010). Undergraduate time use and academic outcomes: Results from the University of California Undergraduate Experience Survey 2006. Teachers College Record, 112(9), 2441–2470. https://doi.org/10.1177/016146811011200908

13.

Canabal

M. E.

(1998). College student degree of participation in the labor force: Determinants and relationship to school performance. College Student Journal, 32(4), 597–605.

14.

Castillo

Gillborn

(2022). How to “QuantCrit”: Practices and questions for education data researchers and users (Ed WorkingPaper No. 22-546). Annenberg Institute at Brown University. https://doi.org/10.26300/v5kh-dd65

15.

Castleman

Meyer

(2019). Financial constraints & collegiate student learning: A behavioral economics perspective. Daedalus, 148(4), 195–216. https://doi.org/10.1162/daed_a_01767

16.

Choi

(2018). Student employment and persistence: Evidence of effect heterogeneity of student employment on college dropout. Research in Higher Education, 59(1), 88–107. https://doi.org/10.1007/s11162-017-9458-y

17.

Congressional Research Service. (2007, January 25). The campus-based financial aid programs: A review and analysis of the allocation of funds to institutions and the distribution of aid to students. https://crsreports.congress.gov/product/pdf/RL/RL32775/9

18.

D’Amico

(1984). Does employment during high school impair academic progress? Sociology of Education, 57(3), 152–164. https://doi.org/10.2307/2112599

19.

Darolia

(2014). Working (and studying) day and night: Heterogeneous effects of working on the academic performance of full-time and part-time students. Economics of Education Review, 38, 38–50. https://doi.org/10.1016/j.econedurev.2013.10.004

20.

DeSimone

J. S.

(2008). The impact of employment during school on college student academic performance (NBER Working Paper No. 14006). National Bureau of Economic Research. http://doi.org/10.3386/w14006

21.

Dorans

N. J.

(1999). Correspondences between ACT™ and SAT® I scores. ETS Research Report Series, 1999(1), i–18. https://doi.org/10.1002/j.2333-8504.1999.tb01800.x

22.

Dundes

Marx

(2006). Balancing work and academics in college: Why do students working 10 to 19 hours per week excel? Journal of College Student Retention, 8(1), 107–120. https://doi.org/10.2190/7UCU-8F9M-94QG-5WWQ

23.

Ecton

W. G.

Heinrich

C. J.

Carruthers

C. K.

(2023). Earning to learn: Working while enrolled in Tennessee colleges and universities. AERA Open, 9(1), 1–16. https://doi.org/10.1177/23328584221140410

24.

Ehrenberg

R. G.

Sherman

D. R.

(1987). Employment while in college, academic achievement, and postcollege outcomes: A summary of results. The Journal of Human Resources, 22(1), 1–23. https://doi.org/10.2307/145864

25.

Ersoy

(2021). Returns to effort: Experimental evidence from an online language platform. Experimental Economics, 24(3), 1047–1073. https://doi.org/10.1007/s10683-020-09689-1

26.

Federal Student Aid. (2020). Federal student aid handbook. United States Department of Education. https://fsapartners.ed.gov/sites/default/files/2021-02/Complete%202019-2020%20Federal%20Student%20Aid%20Handbook%20with%20Active%20Index.pdf

27.

Flaster

(2018). Kids, college, and capital: Parental financial support and college choice. Research in Higher Education, 59(8), 979–1020. https://doi.org/10.1007/s11162-018-9496-0

28.

Flood

King

Rodgers

Ruggles

Warren

R. J.

Westberry

(2022). Integrated public use microdata series, current population survey: Version 10.0 [dataset]. https://doi.org/10.18128/D030.V10.0

29.

Gallagher

(2022, December 2). What is work-study? Everything you need to know. Forbes. https://www.forbes.com/advisor/education/is-work-study-worth-it/

30.

Gleason

P. M.

(1993). College student employment, academic progress, and postcollege labor market success. Journal of Student Financial Aid, 23(2), 5–14. https://ir.library.louisville.edu/jsfa/vol23/iss2/1

31.

Goldrick-Rab

(2016). Paying the price: College costs, financial aid, and the betrayal of the American Dream. University of Chicago Press.

32.

Goldrick-Rab

Kelchen

Harris

D. N.

Benson

(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. https://doi.org/10.1086/685442

33.

Grave

B. S.

(2011). The effect of student time allocation on academic achievement. Education Economics, 19(3), 291–310. https://doi.org/10.1080/09645292.2011.585794

34.

Hawkins

C. A.

Smith

M. L.

Hawkins

R. C.

II Grant

(2005). The relationships among hours employed, perceived work interference, and grades as reported by undergraduate social work students. Journal of Social Work Education, 41(1), 13–27. https://doi.org/10.5175/JSWE.2005.200202122

35.

Higher Education Act of 1965 [As Amended Through P.L. 117–81, Enacted December 27, 2021]. (2021). https://www.govinfo.gov/content/pkg/COMPS-765/pdf/COMPS-765.pdf

36.

Horn

L. J.

(1998). Stopouts or stayouts? Undergraduates who leave college in their first year (ED425683). Office of Educational Research and Improvement, United States Department of Education. https://files.eric.ed.gov/fulltext/ED425683.pdf

37.

Ives

Castillo-Montoya

(2020). First-generation college students as academic learners: A systematic review. Review of Educational Research, 90(2), 139–178. https://doi.org/10.3102/0034654319899707

38.

Kalenkoski

C. M.

Pabilonia

S. W.

(2010). Parental transfers, student achievement, and the labor supply of college students. Journal of Population Economics, 23(2), 469–496. https://doi.org/10.1007/s00148-008-0221-8

39.

Keane

M. P.

Wolpin

K. I.

(2001). The effect of parental transfers and borrowing constraints on educational attainment. International Economic Review, 42(4), 1051–1103. https://www.jstor.org/stable/826985

40.

Lee

J. C.

Staff

(2007). When work matters: The varying impact of work intensity on high school dropout. Sociology of Education, 80(2), 158–178. https://doi.org/10.1177/003804070708000204

41.

Linden

Mathur

M. B.

VanderWeele

T. J.

(2020). Conducting sensitivity analysis for unmeasured confounding in observational studies using E-values: The evalue package. The Stata Journal, 20(1), 162–175. https://doi.org/0.1177/1536867X20909696

42.

Lochner

L. J.

Monge-Naranjo

(2011). The nature of credit constraints and human capital. American Economic Review, 101(6), 2487–2529. https://doi.org/10.1257/aer.101.6.2487

43.

Long

B. T.

Riley

(2007). Financial aid: A broken bridge to college access? Harvard Educational Review, 77(1), 39–63. https://doi.org/10.17763/haer.77.1.765h8777686r7357

44.

Metcalfe

Burgess

Proud

(2019). Students’ effort and educational achievement: Using the timing of the World Cup to vary the value of leisure. Journal of Public Economics, 172, 111–126. https://doi.org/10.1016/j.jpubeco.2018.12.006

45.

Miller

Schmidt

(2022, May 7). College raises student weekly work limit to 20 hours, TA positions to become hourly. The Williams Record. https://williamsrecord.com/460952/news/college-raises-student-weekly-work-limit-to-20-hours-ta-positions-to-become-hourly/

46.

Morgan

S. L.

Winship

(2015). Counterfactuals and causal inference: Methods and principles for social research (2nd ed.). Cambridge University Press.

47.

National Center for Education Statistics. (1994). Undergraduates who work while enrolled in postsecondary education: 1989-1990. Office of Educational Research and Improvement, United States Department of Education. https://nces.ed.gov/pubs94/94311.pdf

48.

National Center for Education Statistics. (2021). The condition of education 2020: College student employment. Institute of Education Sciences, United States Department of Education. https://nces.ed.gov/programs/coe/pdf/2022/ssa_508.pdf

49.

Newfield

(2016). The great mistake: How we wrecked public universities and how we can fix them. Johns Hopkins University Press.

50.

Nunn

Wantchekon

(2011). The slave trade and the origins of mistrust in Africa. American Economic Review, 101(7), 3221–3252. https://doi.org/10.1257/aer.101.7.3221

51.

Page

L. C.

Scott-Clayton

(2016). Improving college access in the United States: Barriers and policy responses. Economics of Education Review, 51, 4–22. https://doi.org/10.1016/j.econedurev.2016.02.009

52.

Perna

L. W.

(Ed.). (2010). Understanding the working college student: New research and its implications for policy and practice. Stylus Publishing.

53.

Pike

G. R.

Kuh

G. D.

Massa-McKinley

R. C.

(2008). First-year students’ employment, engagement, and academic achievement: Untangling the relationship between work and grades. NASPA Journal, 45(4), 560–582. https://doi.org/10.2202/1949-6605.2011

54.

Radford

A. W.

Velez

E. D.

Bentz

Lew

Ifill

(2016). First-time postsecondary students in 2011–12: A profile. National Center for Education Statistics, United States Department of Education. https://nces.ed.gov/pubs2016/2016136.pdf

55.

Riggert

S. C.

Boyle

Petrosko

J. M.

Ash

Rude-Parkins

(2006). Student employment and higher education: Empiricism and contradiction. Review of Educational Research, 76(1), 63–92. https://doi.org/10.3102/00346543076001

56.

Roksa

Kinsley

(2019). The role of family support in facilitating academic success of low-income students. Research in Higher Education, 60(4), 415–436. https://doi.org/10.1007/s11162-018-9517-z

57.

Schwerter

Dimpfl

Bleher

Murayama

(2022). Benefits of additional online practice opportunities in higher education. The Internet and Higher Education, 53, 100834. https://doi.org/10.1016/j.iheduc.2021.100834

58.

Scott-Clayton

(2011). The causal effect of federal work-study participation: Quasi-experimental evidence from West Virginia. Educational Evaluation and Policy Analysis, 33(4), 506–527. https://doi.org/10.3102/0162373711421211

59.

Scott-Clayton

(2012). What explains trends in labor supply among US undergraduates? National Tax Journal, 65(1), 181–210. https://doi.org/10.17310/ntj.2012.1.07

60.

Scott-Clayton

Minaya

(2016). Should student employment be subsidized? Conditional counterfactuals and the outcomes of work-study participation. Economics of Education Review, 52, 1–18. https://doi.org/10.1016/j.econedurev.2015.06.006

61.

Shermer

E. T.

(2021). Indentured students: How government-guaranteed loans left generations drowning in college debt. Harvard University Press.

62.

Soliz

Long

B. T.

(2016). Does working help or hurt college students? The effects of Federal Work-Study participation on student outcomes (ED570706). Center for Analysis of Postsecondary Education and Employment. https://files.eric.ed.gov/fulltext/ED570706.pdf

63.

Staff

Schulenberg

J. E.

Bachman

J. G.

(2010). Adolescent work intensity, school performance, and academic engagement. Sociology of Education, 83(3), 183–200. https://doi.org/10.1177/0038040710374585

64.

Steinberg

L. D.

Greenberger

Garduque

McAuliffe

(1982). High school students in the labor force: Some costs and benefits to schooling and learning. Educational Evaluation and Policy Analysis, 4(3), 363–372. https://doi.org/10.2307/1164066

65.

Stinebrickner

T. R.

(2003). Working during school and academic performance. Journal of Labor Economics, 21(2), 473–491. https://doi.org/10.1086/345565

66.

Students who fight their way through college. (1907, February 24). The New York Times, p. 39. SM7. https://nyti.ms/3Q5WlPH

67.

Toutkoushian

R. K.

May-Trifiletti

J. A.

Clayton

A. B.

(2021). From “first in family” to “first to finish”: Does college graduation vary by how first-generation college status is defined? Educational Policy, 35(3), 481–521. https://doi.org/10.1177/0895904818823753

68.

van Buuren

Boshuizen

H. C.

Knook

D. L

. (1999). Multiple imputation of missing blood pressure covariates in survival analysis. Statistics in Medicine, 18(6), 681–694. https://doi.org/10.1002/(SICI)1097-0258(19990330)18:6<681::AID-SIM71>3.0.CO;2-R

69.

VanderWeele

T. J.

Ding

(2017). Sensitivity analysis in observational research: Introducing the E-value. Annals of Internal Medicine, 167(4), 268–274. https://doi.org/10.7326/M16-2607

70.

Wallace

C. G. L.

Grusin

Mason

Glover

Ellis

(1994). Everyday struggle [Song recorded by The Notorious B.I.G.]. Ready to Die and Bad Boy Records.

71.

Webber

D. A.

(2017). State divestment and tuition at public institutions. Economics of Education Review, 60, 1–4. https://doi.org/10.1016/j.econedurev.2017.07.007

72.

White

I. R.

Daniel

Royston

(2010). Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables. Computational Statistics & Data Analysis, 54(10), 2267–2275. https://doi.org/10.1016/j.csda.2010.04.005

73.

White

I. R.

Royston

Wood

A. M.

(2011). Multiple imputation using chained equations: Issues and guidance for practice. Statistics in Medicine, 30(4), 377–399. https://doi.org/10.1002/sim.4067

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