Heterogeneity in human capital investments: High school curriculum, college major, and careers

Annual Review of Economics

Volumn 4, Issue , 2012, Pages 185-223

  Altonji, Joseph G ^a   Blom, Erica ^a   Meghir, Costas ^b  

^a YALE UNIVERSITY   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

dynamic discrete choice; occupational choice; returns to education

Indexed keywords

EID: 84873113040     PISSN: 19411383     EISSN: 19411391     Source Type: Journal    
DOI: 10.1146/annurev-economics-080511-110908     Document Type: Article

References (80)

1. Altonji JG. 1993. The demand for and return to education when education outcomes are uncertain. J. Labor Econ. 11: 48-83
2. Altonji JG. 1995. The effects of high school curriculum on education and labor market outcomes. J. Hum. Resour. 30: 409-38
3. Altonji JG, Pierret CR. 2001. Employer learning and statistical discrimination. Q. J. Econ. 116: 313-50
4. Arcidiacono P. 2004. Ability sorting and the returns to college major. J. Econom. 121: 343-75
5. Arcidiacono P, Hotz VJ, Kang S. 2010. Modeling college major choices using elicited measures of expectations and counterfactuals. IZA Discuss. Pap. 4738, Bonn
6. Berger MC. 1988. Predicted future earnings and choice of college major. Ind. Labor Relat. Rev. 41: 418-29
7. Bertrand M, Hanna R, Mullainathan S. 2010. Affirmative action in education: evidence from engineering college admissions. J. Public Econ. 94: 16-29
8. Betts Jr. 1996. What do students know about wages? Evidence from a survey of undergraduates. J. Hum. Resour. 31: 27-56
9. Black DA, Haviland AM, Sanders SG, Taylor LJ. 2006. Why do minority men earn less? A study of wage differentials among the highly educated. Rev. Econ. Stat. 88: 300-13
10. Black DA, Haviland AM, Sanders SG, Taylor LJ. 2008. Gender wage disparities among the highly educated. J. Hum. Resour. 43: 630-59
11. Black DA, Sanders S, Taylor L. 2003. The economic reward for studying economics. Econ. Inq. 41: 365-77
12. Blakemore AE, Low SA. 1984. Sex differences in occupational selection: the case of college majors. Rev. Econ. Stat. 66: 157-63
13. Cameron SV, Heckman JJ. 1998. Life cycling schooling and dynamic selection bias: models and evidence for five cohorts of American males. J. Polit. Econ. 106: 262-333
14. Canes BJ, Rosen HS. 1995. Following in her footsteps? Faculty gender composition and women's choice of college majors. Ind. Labor Relat. Rev. 48: 486-504
15. Card DE. 1995. Using geographic variation in college proximity to estimate the return to schooling. In Aspects of Labor Market Behaviour: Essays in Honour of John Vanderkamp, ed. LN Christofides, EK Grant, R Swidinsky, pp. 201-22. Toronto: Univ. Toronto Press
16. Card DE. 1999. The causal effect of education on earnings. In Handbook of Labor Economics, Vol. 3A, ed. Ashenfelter O, Card DE, pp. 1801-63. Amsterdam: Elsevier
17. Carnevale AP, Strohl J, Melton M. 2011. What's it worth? The economic value of college majors. Rep., Cent. Educ. Workforce, Georgetown Univ.
18. Carvalho JR, Magnac T. 2010. College choice and entry exams.Work. Pap., CAEN, Univ. Fed. Ceara/Toulouse Sch. Econ.
19. Christiansen C, Joensen JS, Nielsen HS. 2007. The risk-return trade-off in human capital investment. Labour Econ. 14: 971-86
20. Currie J. 2009. Healthy, wealthy, and wise: socioeconomic status, poor health in childhood, and human capital development. J. Econ. Lit. 47(1): 87-122
21. Daymont TN, Andrisani PJ. 1984. Job preferences, college major, and the gender gap in earnings. J. Hum. Resour. 19: 408-28
22. Dickson L. 2010. Race and gender differences in college major choice. Ann. Am. Acad. Polit. Soc. Sci. 627: 108-24
23. Eckstein Z, Wolpin KI. 1989. The specification and estimation of dynamic stochastic discrete choice models: a survey. J. Hum. Resour. 24: 562-98
24. Eide E, Waehrer G. 1998. The role of the option value of college attendance in college major choice. Econ. Educ. Rev. 17: 73-82
25. Farber HS, Gibbons R. 1996. Learning and wage dynamics. Q. J. Econ. 111: 1007-47
26. Finnie R, Frenette M. 2003. Earnings differences by major field of study: evidence from three cohorts of recent Canadian graduates. Econ. Educ. Rev. 22: 179-92
27. Freeman R. 1976. A cobweb model of the supply and starting salary of new engineers. Ind. Labor Relat. Rev. 29: 236-48
28. Gardner DP. 1983. A nation at risk: the imperative for educational reform. Rep., Natl. Comm. Excell. Educ., Washington, DC
29. Gathmann C, Schö nberg U. 2010. How general is human capital? A task based approach. J. Labor Econ. 28: 1-50
30. Goldin C, Katz LF, Kuziemko I. 2006. The homecoming of American college women: the reversal of the gender gap in college. J. Econ. Perspect. 20(4): 133-56
31. Goodman J. 2009. The labor of division: returns to compulsory math coursework. Work. Pap., Harvard Kennedy Sch., Harvard Univ.
32. Grogger J, Eide E. 1995. Changes in college skills and the rise in the college wage premium. J. Hum. Resour. 30: 280-310
33. Hamermesh DS, Donald SG. 2008. The effect of college curriculum on earnings: an affinity identifier for non-ignorable non-response bias. J. Econom. 144: 479-91
34. Heckman JJ, Honore BE. 1990. The empirical content of the Roy model. Econometrica 58: 1121-49
35. Heckman JJ, Lochner LJ, Todd PE. 2008. Earnings functions and rates of return. J. Hum. Cap. 2(1): 1-31
36. Heckman JJ, Masterov DV. 2007. The productivity argument for investing in young children. Appl. Econ. Perspect. Pol. 29: 446-93
37. Heckman JJ, Navarro S. 2007. Dynamic discrete choice and dynamic treatment effects. J. Econom. 136: 341-96
38. Heckman JJ, Robb R. 1985. Using longitudinal data to estimate age, period, and cohort effects in earnings equations. In Cohort Analysis in Social Research: Beyond the Identification Problem, ed. W Mason, S Fienberg, pp. 137-50. New York: Springer
39. Imbens GW, Angrist JD. 1994. Identification and estimation of local average treatment effects. Econometrica 62: 467-75
40. James E, Alsalam N, Conaty JC, To D. 1989. College quality and future earnings: Where should you send your child to college? Am. Econ. Rev. 79: 247-52
41. Joensen JS, Nielsen HS. 2009. Is there a causal effect of high school math on labor market outcomes? J. Hum. Resour. 44: 171-98
42. Kahn LB. 2010. The long-term labor market consequences of graduating from college in a bad economy. Labour Econ. 17: 303-16
43. Keane MP, Wolpin KI. 1997. The career decisions of young men. J. Polit. Econ. 105: 473-522
44. Lange F. 2007. The speed of employer learning. J. Labor Econ. 25: 1-35
45. Lazear E. 2009. Firm-specific human capital: a skill-weights approach. J. Polit. Econ. 117: 914-40
46. Levine PB, Zimmerman DJ. 1995. The benefit of additional high-school math and science classes for young men and women. J. Bus. Econ. Stat. 13: 137-49
47. Loury LD, Garman D. 1995. College selectivity and earnings. J. Labor Econ. 13: 289-308
48. Malamud O. 2011. Discovering one's talent: learning from academic specialization. Ind. Labor Relat. Rev. 64: 375-405
49. Mane F. 1999. Trends in the payoff to academic and occupation-specific skills: the short and medium run returns to academic and vocational high school courses for non-college-bound students. Econ. Educ. Rev. 18: 417-37
50. Manski CF. 1989. Schooling as experimentation: a reappraisal of the postsecondary dropout phenomenon. Econ. Educ. Rev. 8: 305-12
51. Manski CF. 1993. Adolescent econometricians: How do youth infer the returns to schooling? In Studies of Supply and Demand in Higher Education, ed. CT Clotfelter, MR oths child, pp. 43-60. Chicago: Univ. Chicago Press/NBER
52. Manski CF. 2004. Measuring expectations. Econometrica 72: 1329-76
53. Meghir C, Rivkin SG. 2011. Econometric methods for research in education. In Handbook of the Economics of Education, Vol. 3, ed. E Hanushek, S Machin, L Woessmann, pp. 1-87. Amsterdam: Elsevier
54. Montmarquette C, Cannings K, Mahseredjian S. 2002. How do young people choose college majors? Econ. Educ. Rev. 21: 543-56
55. Ost B. 2010. The role of peers and grades in determining major persistence in the sciences. Econ. Educ. Rev. 29: 923-34
56. Oyer P. 2006. Initial labor market conditions and long-term outcomes for economists. J. Econ. Perspect. 20(3): 143-60
57. Paglin M, Rufolo AM. 1990. Heterogeneous human capital, occupation choice, and male-female earnings differences. J. Labor Econ. 8: 123-44
58. Papageorgiou T. 2010. Learning your comparative advantages. PhD thesis. Yale Univ.
59. Poletaev M, Robinson C. 2008. Human capital specificity: evidence from the Dictionary of Occupational Titles and Displaced Worker Surveys 1984-2000. J. Labor Econ. 26: 387-420
60. President's Council of Advisors on Science and Technology. 2011. Prepare and inspire: K-12 education in science, technology, engineering, and math (STEM) for America's future. Rep., Exec. Off. Pres., Washington, DC
61. President's Council of Advisors on Science and Technology. 2012. Engage and excel: producing one million additional college graduates with degrees in science, technology, engineering, and mathematics. Rep., Exec. Off. Pres., Washington, DC
62. Quandt RE. 1972. A new approach to estimating switching regressions. J. Am. Stat. Assoc. 67: 306-10
63. Ransom M, Phipps A. 2010. Career and occupational implications of undergraduate majors: evidence from the National Survey of College Graduates. Work. Pap., Brigham Young Univ.
64. Robst J. 2007. Education and job match: the relatedness of college major and work. Econ. Educ. Rev. 26: 397-407
65. Rose H, Betts Jr. 2004. The effect of high school courses on earnings. Rev. Econ. Stat. 86: 497-513
66. Rumberger RW, Daymont TN. 1984. The economic value of academic and vocational training acquired in high school. In Youth and the Labor Market, ed. M Borus, pp. 157-92. Kalamazoo, MI: WE Upjohn Inst. Employ. Res.
67. Rumberger RW, Thomas SL. 1993. The economic returns to college major, quality and performance: a multilevel analysis of recent graduates. Econ. Educ. Rev. 12: 1-19
68. Saks RE, Shore S. 2005. Risk and career choice. Adv. Econ. Anal. Policy 5(1): 7
69. Siow A. 1984. Occupational choice under uncertainty. Econometrica 52: 631-45
70. Stange KM. 2012. An empirical investigation of the option value of college enrollment. Am. Econ. J. 4: 49-84
71. Stinebrickner TR, Stinebrickner R. 2011. Math or science? Using longitudinal expectations data to examine the process of choosing a college major. NBERWork. Pap. 16869
72. Todd PE, Wolpin KI. 2003. On the specification and estimation of the production function for cognitive achievement. Econ. J. 113: F3-33
73. Turner SE, Bowen WG. 1999. Choice of major: the changing (unchanging) gender gap. Ind. Labor Rel. Rev. 52: 289-313
74. Violante G, Gallipoli G, Meghir C. 2005. Education decisions, equilibrium policies and wages dispersion. 2005 Meet. Pap. 522, Soc. Econ. Dyn., St. Louis
75. Weinberger CJ. 1999. Mathematical college majors and the gender gap in wages. Ind. Relat. 38: 407-13
76. Weisbrod BA. 1962. Education and investment in human capital. J. Polit. Econ. 70: 106-23
77. Willis RJ, Rosen S. 1979. Education and self-selection. J. Polit. Econ. 87: S7-36
78. Yamaguchi S. 2012. Tasks and heterogeneous human capital. J. Labor Econ. 30: 1-53
79. Zafar B. 2009a. College major choice and the gender gap. Staff Rep. 364. Fed. Reserve Bank, New York
80. Zafar B. 2009b. How do college students form expectations? Staff Rep. 378. Fed. Reserve Bank, New York