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Ability sorting and the returns to college major. (English) Zbl 1282.62252
Summary: Large earnings and ability differences exist across majors. This paper seeks to estimate the monetary returns to particular majors as well as find the causes of the ability sorting across majors. In order to accomplish this, I estimate a dynamic model of college and major choice. Even after controlling for selection, large earnings premiums exist for certain majors. Differences in monetary returns explain little of the ability sorting across majors; virtually all ability sorting is because of preferences for particular majors in college and the workplace, with the former being larger than the latter.

MSC:
62P25 Applications of statistics to social sciences
62-07 Data analysis (statistics) (MSC2010)
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[1] Altonji, J., The demand for and return to education when education outcomes are uncertain, Journal of labor economics, 11, 48-83, (1993)
[2] Arcidiacono, P.; Jones, J.B., Finite mixture distributions, sequential likelihood, and the EM algorithm, Econometrica, 71, 933-946, (2003) · Zbl 1154.62360
[3] Berger, M., Predicted future earnings and choice of college major, Industrial and labor relations review, 41, 418-429, (1988)
[4] Brewer, D.; Ehrenberg, R., Does it pay to attend an elite private college? cross cohort evidence on the effects of college quality on earnings, Journal of human resources, 34, 104-123, (1999)
[5] Cameron, S.; Heckman, J., Life cycle schooling and dynamic selection biasmodels and evidence for five cohorts of American males, Journal of political economy, 106, 262-333, (1998)
[6] Cameron, S.; Heckman, J., The dynamics of educational attainment for black, hispanic, and white males, Journal of political economy, 109, 455-499, (2001)
[7] Card, D., Estimating the return to schoolingprogress on some persistent econometric problems, Econometrica, 69, 1127-1160, (2001)
[8] Davidson, R.; MacKinnon, J., Estimation and inference in econometrics, (1993), Oxford University Press Oxford · Zbl 1009.62596
[9] Daymont, T.; Andrisani, P., Job preferences, college major, and the gender gap in earnings, Journal of human resources, 19, 408-428, (1984)
[10] Dempster, A.P.; Laird, M.; Rubin, D.B., Maximum likelihood from incomplete data via the EM algorithm, Journal of the royal statistical society, series B, 39, 1-38, (1977) · Zbl 0364.62022
[11] Eckstein, Z.; Wolpin, K., The specification and estimation of dynamic stochastic discrete choice modelsa survey, Journal of human resources, 24, 562-598, (1989)
[12] Eckstein, Z.; Wolpin, K., Why youths drop out of high schoolthe impact of preferences, opportunities and abilities, Econometrica, 67, 1295-1339, (1999)
[13] Fuller, D.; Manski, C.; Wise, D., New evidence on the economic determinants of postsecondary schooling choices, Journal of human resources, 17, 477-498, (1982)
[14] Grogger, J.; Eide, E., Changes in college skills and the rise in the college wage premium, Journal of human resources, 30, 280-310, (1995)
[15] Heckman, J.; Vytlacil, E., Instrumental variables methods for the correlated random coefficient model, Journal of human resources, 33, 974-987, (1998)
[16] Heckman, J.; Lochner, L.; Taber, C., General-equilibrium treatment effectsa study of tuition policy, American economic review, 88, 381-386, (1998)
[17] Heckman, J., Tobias, J., Vytlacil, E., 2000. Simple estimators for treatment parameters in a latent variable framework with an application to estimating the returns to schooling. NBER Working Paper #7950.
[18] James, E.; Nabeel, A.; Conaty, J.; To, D., College quality and future earningswhere should you send your child to college?, American economic review, 79, 247-252, (1989)
[19] Keane, M.; Wolpin, K., The solution and estimation of discrete choice dynamic programming models by simulation and interpolationmonte Carlo evidence, Review of economics and statistics, 76, 648-672, (1994)
[20] Keane, M.; Wolpin, K., The career decisions of Young men, Journal of political economy, 105, 473-522, (1997)
[21] Loury, L., The gender-earnings gap among college-educated workers, Industrial and labor relations review, 50, 580-593, (1997)
[22] Loury, L.; Garman, D., College selectivity and earnings, Journal of labor economics, 13, 289-308, (1995)
[23] McFadden, D., 1981. Econometric models of probabilistic choice. In: Manski, C., McFadden, D. (Eds.), Structural Analysis of Discrete Data with Econometric Applications, MIT Press, Cambridge, MA. · Zbl 0598.62145
[24] Rothwell, G.; Rust, J., On the optimal lifetime of nuclear power plants, Journal of business and economic statistics, 15, 195-208, (1997)
[25] Rust, J., Optimal replacement of GMC bus enginesan empirical model of harold zurcher, Econometrica, 55, 999-1033, (1987) · Zbl 0624.90034
[26] Rust, J., 1994. Structural estimation of Markov decision processes. Handbook of Econometrics, North-Holland, New York, Vol. 4.
[27] Rust, J., 1996. Numerical dynamic programming in econometrics. Handbook of Computational Economics, Elsevier, New York. · Zbl 1126.65316
[28] Rust, J.; Phelan, C., How social security and medicare affect retirement behavior in a world of incomplete markets, Econometrica, 65, 781-831, (1997) · Zbl 0891.90053
[29] Sowell, T., 1972. Black Education: Myths and Tragedies. David McKay Company, Inc., New York.
[30] Turner, S.; Bowen, W., Choice of majorthe changing (unchanging) gender gap, Industrial and labor relations review, 52, 289-313, (1999)
[31] Willis, R.; Rosen, S., Education and self selection, Journal of political economy, 87, S7-S36, (1979)
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