The relationship between siblings’ college choices: Evidence from one million SAT-taking families
ARTICLE
Joshua Goodman, Harvard University ; Michael Hurwitz, Jonathan Smith, Julia Fox, College Board, United States
Economics of Education Review Volume 48, Number 1, ISSN 0272-7757 Publisher: Elsevier Ltd
Abstract
Recent empirical work has demonstrated the importance both of educational peer effects and of various factors that affect college choices. We connect these literatures by highlighting a previously unstudied determinant of college choice, namely the college choice made by one's older sibling. Data on 1.6 million sibling pairs of SAT-takers reveals that younger and older siblings’ choices are very closely related. One-fifth of younger siblings enroll in the same college as their older siblings. Compared to their high school classmates of similar academic skill and with observably similar families, younger siblings are about 15–20 percentage points more likely to enroll in 4-year colleges or highly competitive colleges if their older siblings do so first. These findings vary little by family characteristics. Younger siblings are more likely to follow the college choices of their older siblings the more they resemble each other in terms of academic skill, age and gender. We discuss channels through which older siblings’ college choices might causally influence their younger siblings, noting that the facts documented here should prompt further research on the sharing of information and shaping of educational preferences within families.
Citation
Goodman, J., Hurwitz, M., Smith, J. & Fox, J. (2015). The relationship between siblings’ college choices: Evidence from one million SAT-taking families. Economics of Education Review, 48(1), 75-85. Elsevier Ltd. Retrieved September 22, 2023 from https://www.learntechlib.org/p/207080/.
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References
View References & Citations Map- Altonji, J.G., Cattan, S., & Ware, I. (2010). Identifying sibling influence on teenage substance use.
- Ashenfelter, O., & Krueger, A. (1994). Estimates on the return to schooling from a new sample of twins.. American Economic Review, 84, pp. 1157-1173.
- Avery, C., & Hoxby, C. (2004). Do and should financial aid decisions affect students' college choices?. College choices: The new economics of choosing, attending, and completing college.
- Behrman, J., Rosensweig, M., & Taubman, P. (1996). College choice and wages: Estimates using data on female twins. The Review of Economics and Statistics, 78(4), pp. 672-685.
- Behrman, J., & Taubman, P. (1986). Birth order, schooling, and earnings. Journal of Labor Economics, 4, pp. S121-S145.
- Bettinger, E.P., Long, B.T., Oreopoulos, P., & Sanbonmatsu, L. (2012). The role of application assistance and information in college decisions: Results from the H&R Block FAFSA experiment. Quarterly Journal of Economics, 127, pp. 1205-1242.
- Black, S., Devereaux, P., & Salvanes, K. (2005). The more the merrier? The effect of family size and birth order on children's education. Quarterly Journal of Economics, 120(2), pp. 669-700.
- Booth, A., & Kee, H.J. (2009). Birth order matters: The effect of family size on educational attainment. Journal of Population Economics, 22, pp. 367-397.
- Bowen, W.G., Chingos, M., & McPherson, M. (2009). Crossing the finish line. Princeton, NJ: Princeton University Press.
- Bulman, G., C. Hoxby, & J. Meer (2014). Teach for America and students’ college application choices, Working paper.
- Card, D., & Krueger, A. (2005). Would the elimination of affirmative action affect highly qualified minority applicants? Evidence from California and Texas. Industrial and Labor Relations Review, 56, pp. 416-434.
- Choy, S. (2001). “Students whose parents did not go to college: Postsecondary access, persistence, and attainment.” Findings from the Condition of Education.
- Clark, M., J. Rothstein & D.W. Schanzenbach. (2008). “Selection bias in college admissions test scores.” Working paper 14265, National Bureau of Economic Research.
- Cohodes, S., & Goodman, J. (2014). Merit aid, college quality and college completion: Massachusetts' Adams scholarship as an in-kind subsidy. American Economic Journal: Applied Economics, 6(4), pp. 251-285.
- DesJardins, S., Dundar, H., & Hendel, D. (1999). Modeling the college application decision process in a land-grant university. Economics of Education Review, 18, pp. 117-132.
- Dillon, E. & J. Smith (2013). The determinants of mismatch between students and colleges. NBER working paper 19286.
- Dynarski, S. (2003). Does aid matter? Measuring the effect of student aid on college attendance and completion. American Economic Review, 93(1), pp. 279-288.
- Fuller, W.C., Manski, C.F., & Wise, D.A. (1982). New evidence on the economic determinants of postsecondary schooling choices. Journal of Human Resources, 17(4), pp. 477-498.
- Goodman, J., Hurwitz, M. & Smith, J. (2014). College access, initial college choice and degree completion. Harvard Kennedy School Faculty Research Working paper series, RWP14-030.
- Goodman, S. (2013). Learning from the test: Raising selective college enrollment by providing information. Board of Governors of the Federal Reserve System, Finance and Economics discussion series 2013-69.
- Hearn, J. (1991). Academic and nonacademic influences on the college destinations of 1980 high school graduates. Sociology of Education, 64(3), pp. 158-171.
- Hossler, D., Braxton, J., & Coppersmith, G. (1989). Under-standing student college choice. Higher education: Handbook of theory and research, 5, pp. 231-288. New York: AgathonPress.
- Hotz, J. & J. Patano (2013). Strategic parenting, birth order and school performance, NBER working paper #19542.
- Hoxby, C., & C. Avery (2012). The missing ‘one-offs’: The hidden supply of high-achieving, low income students, NBER working paper no. w18586.
- Hoxby, C., & S. Turner (2013) Expanding college opportunities for high-achieving, low income students, SIEPR discussion paper no. 12-014.
- Hurwitz, M. (2011). The impact of legacy status on undergraduate admissions at elite colleges and universities.. Economics of Education Review, 30(3), pp. 480-492.
- Hurwitz, M. (2012). The impact of institutional grant aid on college choice. Educational Evaluation and Policy Analysis, 34(3), pp. 344-363.
- Hurwitz, M., Smith, J., Niu, S., & Howell, J. (2015). The Maine question: How is four-year college enrollment affected by mandatory college entrance exams?. Educational Evaluation and Policy Analysis, 37(1), pp. 138-159.
- Hyman, J. (2014). ACT for all: The effect of mandatory college entrance exams on postsecondary attainment and choice. University of Michigan working paper.
- Jackson, G. (1978). Financial aid and student enrollment. Journal of Higher Education, 49(6), pp. 548-574.
- Jacob, B., McCall, B., & Stange, K.M. (2013). College as country club: Do colleges cater to students’ preferences for consumption? National Bureau of Economic Research working paper 18745.
- Joensen, J. & H. Nielsen (2013). Peer effects in math and science. Working paper.
- Kantarevic, J., & Mechoulan, S. (2006). Birth order, educational attainment, and earnings: An investigation using the PSID. Journal of Human Resources, 41, pp. 755-777.
- Klasik, D. (2013). The ACT of enrollment: The college enrollment effects of required college entrance exam taking. Educational Researcher, 42, pp. 151-160.
- Leppel, K. (1993). Logit estimation of a gravity model of the college enrollment decision. Research in Higher Education, 34(3), pp. 387-398.
- Lindahl, L., & Regner, H. (2005). College choice and subsequent earnings: Results using Swedish sibling data. Scandinavian Journal of Economics, 107(3), pp. 437-457.
- Long, B. (2004). How have college applications changed over time? An application of the conditional logistic choice model. Journal of Econometrics, 121, pp. 271-296.
- Loury, L. (2004). Siblings and gender differences in African-American college attendance. Economics of Education Review, 23(3), pp. 213-219.
- Luca, M., & Smith, J. (2013). Salience in quality disclosure: Evidence from the U.S. news college rankings. Journal of Economics and Management Strategy, 22(1), pp. 58-77.
- Oettinger, G. (2000). Sibling similarity in high school graduation outcomes: Causal interdependency or unobserved heterogeneity?. Southern Economic Journal, pp. 631-648.
- Pallais, A. (2013). Small differences that matter: Mistakes in applying to college, NBER working paper #19480.
- Perna, L.W., & Titus, M.A. (2005). The relationship between parental involvement as social capital and college enrollment: An examination of Racial/Ethnic group differences. Journal of Higher Education., 76(5), pp. 485-518.
- Pope, D., & Pope, J. (2009). The impact of college sports success on the quantity and quality of student applications. Southern Economic Journal, 75(3), pp. 750-780.
- Rouse, C. (1999). Further estimates of the economic return to schooling from a new sample of twins. Economics of Education Review, 18(2), pp. 149-157.
- Sacerdote, B. (2011). Peer effects in education: How might they work, how big are they and how much do we know thus far?. Handbook of the Economics of Education, 3, pp. 249-277.
- Smith, J. (2013). Ova and out: Using twins to estimate the educational returns to attending a selective college. Economics of Education Review, 36, pp. 166-180.
- Smith, J., M. Hurwitz, & J. Howell (2014). Screening mechanisms and student responses in the college market, Working paper.
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