The wages of BMI: Bayesian analysis of a skewed treatment-response model with nonparametric endogeneity (replication data)


We generalize the specifications used in previous studies of the effect of body mass index (BMI) on earnings by allowing the potentially endogenous BMI variable to enter the log wage equation nonparametrically. We introduce a Bayesian posterior simulator for fitting our model that permits a nonparametric treatment of the endogenous BMI variable, flexibly accommodates skew in the BMI distribution, and whose implementation requires only Gibbs steps. Using data from the 1970 British Cohort Study, our results indicate the presence of nonlinearities in the relationships between BMI and log wages that differ across men and women, and also suggest the importance of unobserved confounding for our sample of males.

Metadata Access
Creator Kline, Brendan; Tobias, Justin L.
Publisher ZBW - Leibniz Informationszentrum Wirtschaft
Publication Year 2008
Rights Creative Commons Attribution 4.0 (CC-BY); Download
OpenAccess true
Contact ZBW - Leibniz Informationszentrum Wirtschaft
Language English
Resource Type Collection
Discipline Economics