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Regression, matching, control function and instrumental variables methods for recovering the impact of education on individual earnings are reviewed for single treatment and sequential multiple treatments with and without heterogeneous returns. The sensitivity of the estimates once applied to a common dataset is then explored. We show the importance of correcting for detailed test score and family background differences and of allowing for (observable) heterogeneity in returns. We find an average return of 27% for those completing higher education versus anything less. Compared to stopping at 16 without qualifications, we find an average return to O-levels of 18%, to A-levels of 24% and to higher education of 48%.
Authors
Lorraine Dearden
CPP Co-Director
Richard is Co-Director of the Centre for the Microeconomic Analysis of Public Policy (CPP) and Senior Research Fellow at IFS.
Barbara Sianesi
Working Paper details
- DOI
- 10.1920/wp.ifs.2003.0320
- Publisher
- IFS
Suggested citation
R, Blundell and L, Dearden and B, Sianesi. (2003). Evaluating the impact of education on earnings in the UK: Models, methods and results from the NCDS. London: IFS. Available at: https://ifs.org.uk/publications/evaluating-impact-education-earnings-uk-models-methods-and-results-ncds (accessed: 30 April 2024).
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