Learning about heterogeneity in returns to schooling
Koop, Gary and Tobias, Justin L. (2004) Learning about heterogeneity in returns to schooling. Journal of Applied Econometrics, 19 (7). pp. 827-849. ISSN 0883-7252 (https://doi.org/10.1002/jae.744)
Preview |
Text.
Filename: strathprints006913.pdf
Accepted Author Manuscript Download (216kB)| Preview |
Abstract
Using data from the National Longitudinal Survey of Youth (NLSY) we introduce and estimate various Bayesian hierarchical models that investigate the nature of unobserved heterogeneity in returns to schooling. We consider a variety of possible forms for the heterogeneity, some motivated by previous theoretical and empirical work and some new ones, and let the data decide among the competing specifications. Empirical results indicate that heterogeneity is present in returns to education. Furthermore, we find strong evidence that the heterogeneity follows a continuous rather than a discrete distribution, and that bivariate normality provides a very reasonable description of individual-level heterogeneity in intercepts and returns to schooling.
ORCID iDs
Koop, Gary ORCID: https://orcid.org/0000-0002-6091-378X and Tobias, Justin L.;-
-
Item type: Article ID code: 6913 Dates: DateEvent2004PublishedNotes: Working paper version Subjects: Social Sciences > Economic Theory
Social Sciences > StatisticsDepartment: Strathclyde Business School > Economics Depositing user: Strathprints Administrator Date deposited: 25 Sep 2008 Last modified: 15 Nov 2024 01:02 URI: https://strathprints.strath.ac.uk/id/eprint/6913