The DOI matches its Crossref record; 47 of the 51 references it cites were found in a registry or an index.
On the Specification and Estimation of the Production Function for Cognitive Achievement
Open accessAbstract
This paper considers methods for modelling the producLion lLinction for cognitive achieve-ment in a way that captures theoretical notions thai child development is a cumulative process depending on the history of family and school inputs and on innate ability. It develops a general modelling framework that accommodates many of the estimating equations used in the literatures. It considers different ways of addressing data limitations, and it makes precise the identifying assumptions needed to justify alternative approaches. Commonly used specifica-tions are shown to place restrictive assumptions on ihe production technology'. Ways of testing modelling assumptions and of relaxing them are discussed. An extensive, mullidisciplinar) empirical literature studies the determinants of cognitivt ' achievement in children. The early childhood developmer\\t (ECD) branch of this literature seeks to understand the role of parental characteristics and the early home environment in producing cognitive skills. The education production function (EPF) hranch of the literature examines the productivity relationship between schooling inputs and test score outcomes for school-age children.
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“Hence, ˜ κ g cannot be interpreted as the structural impact of teacher quality holding fixed all other inputs in a general model of the education production function (e.g., Todd and Wolpin 2003).”
From Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood (2014) · cites this paper as Todd and Wolpin 2003
Citations
Cites
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
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Coleman, J. S. (1968) · Equity & Excellence in Education · doi:10.1080/0020486680060504 · Cited by 6,567
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Angrist, J. D., & Imbens, G. W. (1995) · National Bureau of Economic Research · doi:10.3386/t0118 · Cited by 2,915
(1986) · Journal of Economic Literature · Cited by 2,705
The Production of Human Capital and the Life Cycle of Earnings
Ben-Porath, Y. (1967) · Journal of Political Economy · doi:10.1086/259291 · Cited by 2,646
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Becker, G. S., & Tomes, N. (1976) · Journal of Political Economy · doi:10.1086/260536 · Cited by 1,640
Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement
Angrist, J. D., & Lavy, V. (1999) · The Quarterly Journal of Economics · doi:10.1162/003355399556061 · Cited by 1,482
The Career Decisions of Young Men
Keane, M. P., & Wolpin, K. I. (1997) · Journal of Political Economy · doi:10.1086/262080 · Cited by 1,362
Self-citation
Research works printed but not linked: 15
- Blau, 1992, ‘Maternal labor supply and children's cognitive development’, F474
- Burtless, 1996, Does Money Matter? The Effect of School Resources on Student Achievement and Adult Success
- Case, 1992, Exploring the Conceptual Underpinnings of Children's Thought and Knowledge
- Dustmann, 2003, Economic Journal, FF99
- Godfrey, 1990, Misspecification Tests in Econometrics
- Hanushek, 1996, Does Money Matter? The Effect of School Resources on Student Achievement and Adult Success
- Hanushek, 1998, ‘Conclusion and controversies about the effectiveness of school resources’, Economic Policy Review, 4, F11
- Heckman, 1992, Evaluating Welfare and Training Programs, F201
- Heckman, 2000, ‘Causal parameters, structural equations, treatment effects and randomized evaluations of social programs’
- Hedges, 1996, Does Money Matter? The Effect of School Resources on Student Achievement and Adult Success
- Krueger, 2000, Miliken Institute Award for Distinguished Economic Research paper
- Ludwig, 1999, ‘School spending and student achievement: new evidence from longitudinal data’
- Sanders, 1997, Grading Teachers, Grading Schools: Is Student Achievement a Valid Evaluation Measure
- Wolpin, 1995, Fundamentals of Pure Applied Economic Series, Empirical Methods for the Study of Labor Force Dynamics, 60
- Wolpin, 1997, Handbook of Population and Family Economics
Cited by
Sorted by citations
Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood
Chetty, R., Friedman, J. N., & Rockoff, J. E. (2014) · American Economic Review · doi:10.1257/aer.104.9.2633 · Cited by 1,717
Heckman, J., Pinto, R., & Savelyev, P. (2013) · American Economic Review · doi:10.1257/aer.103.6.2052 · Cited by 1,628
Estimating the Technology of Cognitive and Noncognitive Skill Formation
Cunha, F., Heckman, J. J., & Schennach, S. M. (2010) · Econometrica · doi:10.3982/ecta6551 · Cited by 1,949
Interpreting effect sizes of education interventions
Kraft, M. A. (2020) · Educational Researcher · doi:10.3102/0013189x20912798 · Cited by 1,281
The Failure of Input‐based Schooling Policies
Hanushek, E. A. (2003) · The Economic Journal · doi:10.1111/1468-0297.00099 · Cited by 1,245
Metadata
- Authors
- Todd, P. E., & Wolpin, K. I.
- Affiliations
- University of Pennsylvania (US)
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-02-01
- Volume
- 113
- Issue
- 485
- Pages
- F3-F33
- ISSN
- 0013-0133 (ISSN-L)
- 1468-0297
- OpenAlex
- W2089954965
- Cited by
- 1,514
- References
- 51
- Citations by year
- 2026: 37 · 2025: 44 · 2024: 54 · 2023: 41 · 2022: 58 · 2021: 57 · 2020: 52 · 2019: 67 · 2018: 75 · 2017: 84 · 2016: 85 · 2015: 92 · 2014: 105 · 2013: 96 · 2012: 94
- FWCI
- 212.28
- Type
- journal article
- Language
- en
- Open access
- green
- core.ac.uk
- Locations
- The Economic Journal (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- Topics
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Education › Early Childhood Education and Development
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Keywords
- cognitive achievement, production function, child development, early childhood development, education production function, parental characteristics, family environment, innate talent, identification assumptions, test scores
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