Abstract
Recent studies debate how the unobserved dependence between the monetary return to college education and selection into college can be characterized. This paper examines this question using British data. We develop a semiparametric local instrumental variables estimator for identified features of a flexible correlated random coefficient model. These identified features are directly related to the marginal and average treatment effect in policy evaluation. Our results indicate that returns to college systematically differ between actual college graduates and actual college non-graduates. They are on average higher for college graduates and positively related to selection into college for 96 percent of the individuals. The dependence between selection into college and returns to college education is strongest for individuals with low math test scores at the age of 7, individuals with less educated mothers, and for working-class individuals.
| Original language | English |
|---|---|
| Place of Publication | Tilburg |
| Publisher | Econometrics |
| Number of pages | 36 |
| Volume | 2009-88 |
| Publication status | Published - 2009 |
Publication series
| Name | CentER Discussion Paper |
|---|---|
| Volume | 2009-88 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 8 Decent Work and Economic Growth
-
SDG 10 Reduced Inequalities
Keywords
- Returns to college education
- correlated random coefficient model
- local instrumental variables estimation
Fingerprint
Dive into the research topics of 'College Education and Wages in the U.K. Estimating Conditional Average Structural Functions in Nonadditive Models with Binary Endogenous Variables'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver