The effect of college curriculum on earnings: An affinity identifier for non-ignorable non-response bias
We link information on graduates from many cohorts to their high-school and college records and demographics to infer the impact of college major on earnings. We develop an estimator to handle potential non-response bias and identify non-response using an affinity measure--the potential respondent's link to the survey organization. This technique is generally applicable for adjusting for unit non-response. In the earnings model estimated using the identified (for non-response bias) selectivity adjustments, adjusted earnings differentials across college majors are below half as large as unadjusted differentials and ten percent smaller than those that do not account for selective non-response.
Year of publication: |
2008
|
---|---|
Authors: | Hamermesh, Daniel S. ; Donald, Stephen G. |
Published in: |
Journal of Econometrics. - Elsevier, ISSN 0304-4076. - Vol. 144.2008, 2, p. 479-491
|
Publisher: |
Elsevier |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Hamermesh, Daniel S., (2008)
-
A structural model of the fixed time costs of market work
Donald, Stephen G., (2009)
-
The time and timing costs of market work
Hamermesh, Daniel S., (2007)
- More ...