Health Econometrics Using Stata: 1st Edition (Paperback) book cover

Health Econometrics Using Stata

1st Edition

By Partha Deb, Edward C. Norton, Willard G. Manning

Stata Press

264 pages

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Paperback: 9781597182287
pub: 2017-09-08
$72.95
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Description

Health Econometrics Using Stata by Partha Deb, Edward C. Norton, and Willard G. Manning provides an excellent overview of the methods used to analyze data on healthcare expenditure and use. Aimed at researchers, graduate students, and practitioners, this book introduces readers to widely used methods, shows them how to perform these methods in Stata, and illustrates how to interpret the results. Each method is discussed in the context of an example using an extract from the Medical Expenditure Panel Survey.

After the overview chapters, the book provides excellent introductions to a series of topics aimed specifically at those analyzing healthcare expenditure and use data. The basic topics of linear regression, the generalized linear model, and log and Box-Cox models are covered with a tight focus on the problems presented by these data. Using this foundation, the authors cover the more advanced topics of models for continuous outcome with mass points, count models, and models for heterogeneous effects. Finally, they discuss endogeneity and how to address inference questions using data from complex surveys.

The authors use their formidable experience to guide readers toward useful methods and away from less recommended ones. Their discussion of "health econometric myths" and the chapter presenting a framework for approaching health econometric estimation problems are especially useful for this aspect.

Table of Contents

Introduction

Framework

MEPS data

The linear regression model: Specification and checks

Generalized linear models

Log and Box–Cox models

Models for continuous outcomes with mass at zero

Count models

Models for heterogeneous effects

Endogeneity

Design effects

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General