Data Visualization and Health Econometrics

Andrew Jones

Foundations and Trends(R) in Econometrics, 2017, vol. 9, issue 1, 1-78

Abstract: 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.

Keywords: Econometric methods; Data visualization; Flexible parametric models; Semiparametric models; Healthcare cost regressions (search for similar items in EconPapers)
JEL-codes: C14 C80 I10 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:now:fnteco:0800000033

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