Data visualization and health econometrics

Publication type

Journal Article

Published in

Foundations and Trends in Econometrics

Author

Andrew M. Jones

Publication date

Summary

This article reviews econometric methods for health outcomes and health care costs that are used for prediction and forecasting, risk adjustment, resource allocation, technology assessment, and policy evaluation. It focuses on the principles and practical application of data visualization and statistical graphics and how these can enhance applied econometric analysis. Particular attention is devoted to methods for skewed and heavy-tailed distributions. Practical examples show how these methods can be applied to data on individual healthcare costs and health outcomes. Topics include: an introduction to data visualization; data description and regression; generalized linear models; flexible parametric models; semiparametric models; and an application to biomarkers.

Volume and page numbers

9, 1-78

DOI

http://dx.doi.org/10.1561/0800000033

ISSN

16

Subjects

Econometrics, Economics, Health and Biology

Links

Notes

Not held in Hilary Doughty Research Library - bibliographic reference only