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The effect of schooling and ability on achievement test scores
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Heckman, Stixrud and Urzua [2006] allow lifetime experiences and investments to determine, in part, the coefficients of the factor model and to affect the factor itself.
“Generalizing the analysis of Hansen, Heckman and Mullen [2004], Heckman, Stixrud and Urzua [2006] allow for lifetime experiences and investments to determine, in part, the coefficients of the factor model and to affect the factor itself.”
From Personality Psychology and Economics (2011) · cites this paper as Hansen, Heckman and Mullen [2004]
Hansen, Heckman and Mullen [2004] and Heckman, Stixrud and Urzua [2006] show that schooling and other acquired traits substantially causally affect measured cognitive and personality test scores.
“Hansen, Heckman and Mullen [2004], and Heckman, Stixrud and Urzua [2006] show how schooling and other acquired traits substantially causally affect measured cognitive and personality test scores.”
From Personality Psychology and Economics (2011) · cites this paper as Hansen, Heckman and Mullen [2004]
Schooling in the high school years has moderate but positive effects on measures of cognition.
“Schooling in the high school years has moderate but positive effects on the measures of cognition, consistent with previous research by Hansen, Heckman and Mullen [2004], Neal and Johnson [1996], and Winship and Korenman [1997].”
From Personality Psychology and Economics (2011) · cites this paper as Hansen, Heckman and Mullen [2004]
Citations
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References 45 · Cited by 366
Research works printed but not linked: 24
- Altonji, 2001, Employer learning and statistical discrimination, Quarterly Journal of Economics, 116, 313, 10.1162/003355301556329 · DOI
- Ashenfelter, 1994, Estimates of the economic returns to schooling from a new sample of twins, American Economic Review, 84, 1157
- Cameron, 1993, The nonequivalence of high school equivalents, Journal of Labor Economics, 11, 1, 10.1086/298316 · DOI
- Cameron, 1998, Life cycle schooling and dynamic selection bias, Journal of Political Economy, 106, 262, 10.1086/250010 · DOI
- Cameron, 2001, The dynamics of educational attainment for black, hispanic, and white males, Journal of Political Economy, 109, 455, 10.1086/321014 · DOI
- Carneiro, 2003, Estimating distribution of treatment effects counterfactuals with an application to the returns to schooling and measurement of the effects of uncertainty on college choice, International Economic Review, 44, 361, 10.1111/1468-2354.t01-1-00074 · DOI
- Ceci, 1991, How much does schooling influence general intelligence and its cognitive components?: a reassessment of the evidence, Developmental Psychology, 27, 703, 10.1037/0012-1649.27.5.703 · DOI · Paper page
- Hanushek, E., 2002. Publicly provided education. In: Auerbach, A., Feldstein, M. (Eds.), Handbook of Public Economics, Vol. 4. North-Holland, Amsterdam, pp. 2045–2141. · DOI
- Heckman, 1974, Effects of child-care programs on women's work effort, Journal of Political Economy, 82, S136, 10.1086/260297 · DOI
- Heckman, J., 1980. Addendum to sample selection bias as a specification error. In: Stromsdorfer, E., Farkas, G. (Eds.), Evaluation Studies Review Annual, Vol. 5. Sage Publications, Beverley Hills, CA.
- Heckman, J., 1981. Statistical models for discrete panel data. In: Manski, C., McFadden, D. (Eds.), Structural Analysis of Discrete Data With Econometric Applications. MIT Press, Cambridge.
- Heckman, 1990, The empirical content of the Roy model, Econometrica, 58, 1121, 10.2307/2938303 · DOI
- Heckman, 1985, Alternative methods for evaluating the impact of interventions, Journal of Econometrics, 30, 239, 10.1016/0304-4076(85)90139-3 · DOI
- Heckman, J., Robb, R., 1986. Alternative methods for solving the problem of selection bias in evaluating the impact of treatments on outcomes. In: Wainer, H. (Ed.), Drawing Inferences from Self-selected Samples. Lawrence Erlbaum, New Jersey, Reprinted 2000. · DOI
- Heckman, 2001, The importance of noncognitive skills, American Economic Review, 91, 145, 10.1257/aer.91.2.145 · DOI · Paper page
- Heckman, 2001, Identifying the role of cognitive ability in explaining the level of and change in the return to schooling, Review of Economics and Statistics, 83, 1, 10.1162/003465301750159993 · DOI
- Kotlarski, 1967, On characterizing the gamma and normal distribution, Pacific Journal of Mathematics, 20, 69, 10.2140/pjm.1967.20.69 · DOI
- Manski, 1988, Identification of binary response models, Journal of the American Statistical Association, 83, 729, 10.2307/2289298 · DOI
- Matzkin, 1993, Nonparametric identification and estimation of polychotomous choice models, Journal of Econometrics, 58, 137, 10.1016/0304-4076(93)90116-M · DOI
- McCulloch, 1994, An exact likelihood analysis of the multinomial probit model, Journal of Econometrics, 64, 207, 10.1016/0304-4076(94)90064-7 · DOI
- McFadden, D., 1984. Econometric analysis of qualitative response models. In: Griliches, Z., Intriligator, M.D. (Eds.), Handbook of Econometrics, Vol. II. North-Holland, Amsterdam. · DOI
- Neal, 1996, The role of premarket factors in black–white wage differences, Journal of Political Economy, 104, 869, 10.1086/262045 · DOI · Paper page
- Olley, 1996, The dynamics of productivity in the telecommunications equipment industry, Econometrica, 64, 1263, 10.2307/2171831 · DOI
- Richardson, 2002, Mixture models in measurement error problems, with reference to epidemiological studies, Journal of the Royal Statistical Society: Series A (Statistics in Society), 165, 549, 10.1111/1467-985X.00252 · DOI
Metadata
- Authors
- Hansen, K. T., Heckman, J. J., & Mullen, K. J.
- Affiliations
- Northwestern University (US)
- American Bar Foundation (US)
- University of Chicago (US)
- Corresponding author
- Heckman, James J.
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 2004-07
- Volume
- 121
- Issue
- 1-2
- Pages
- 39-98
- ISSN
- 0304-4076 (ISSN-L)
- OpenAlex
- W2169307545
- Cited by
- 366
- References
- 45
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 5 · 2023: 18 · 2022: 6 · 2021: 9 · 2020: 9 · 2019: 10 · 2018: 9 · 2017: 16 · 2016: 19 · 2015: 25 · 2014: 27 · 2013: 25 · 2012: 24
- FWCI
- 84.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Econometrics (publishedVersion)
- Topics
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Keywords
- returns to education, achievement test scores, latent ability, endogeneity of schooling, Armed Forces Qualification Test, ability distribution, educational attainment
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