The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Schooling Resources, Educational Institutions and Student Performance: the International Evidence
Abstract
This paper estimates the effects of family background, resources and institutions on mathematics and science performance using an international database of more than 260,000 students from 39 countries which includes extensive background information at the student, teacher, school and system level. The student‐level estimations show that international differences in student performance cannot be attributed to resource differences but are considerably related to institutional differences. Among the many institutions which combine to yield major positive effects on student performance are centralized examinations and control mechanisms, school autonomy in personnel and process decisions, individual teacher influence over teaching methods, limits to teacher unions’ influence on curriculum scope, scrutiny of students’ achievement and competition from private schools.
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Citations
Cites
The analysis of household surveys: A microeconometric approach to development policy
Deaton, A. (1997) · doi:10.1596/0-8018-5254-4 · Cited by 4,877
Cited by
Van de Werfhorst, H. G., & Mijs, J. J. B. (2010) · Annual Review of Sociology · doi:10.1146/annurev.soc.012809.102538 · Cited by 801
Does school autonomy make sense everywhere? Panel estimates from PISA
Hanushek, E. A., Link, S., & Woessmann, L. (2013) · Journal of Development Economics · doi:10.1016/j.jdeveco.2012.08.002 · Cited by 409
Do Better Schools Lead to More Growth? Cognitive Skills, Economic Outcomes, and Causation
Hanushek, E., & Woessmann, L. (2009) · National Bureau of Economic Research · doi:10.3386/w14633 · Cited by 396
Lavy, V. (2015) · The Economic Journal · doi:10.1111/ecoj.12233 · Cited by 369
Pischke, J. (2007) · The Economic Journal · doi:10.1111/j.1468-0297.2007.02080.x · Cited by 294
Metadata
- Authors
- Wößmann, L.
- Venue
- Oxford Bulletin of Economics and Statistics
- Publisher
- Wiley
- Published
- 2003-05
- Volume
- 65
- Issue
- 2
- Pages
- 117-170
- ISSN
- 0305-9049 (ISSN-L)
- 1468-0084
- OpenAlex
- W2107045528
- Cited by
- 823
- References
- 1
- FWCI
- 146.95
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
