Applied Econometrics for Health Economists, 2nd Edition
by Andrew Jones
 Applied Econometrics for Health Economists: A Practical Guide,
Second Edition, by Andrew Jones intuitively discusses the major methods
used in applied health economics. In each discussion, Jones uses Stata
to analyze real data and interprets the results. Because the
discussions are concise, are intuitive, and relegate all equations to
an appendix, this book is an excellent choice for students or
researchers who need quick, but surprisingly complete, introductions to
or reviews of the main health-econometric methods for individual-level
data.
As is clear from the table of contents below, the book’s coverage is
thorough. Each chapter is short and quickly covers an important topic
for applied health economics. The combination of these first-rate short
discussions and the illustrative Stata examples ensure that both
students and researchers will widely use this book.
Table of contents
Preface
About the author
Acknowledgments
1. Introduction: the evaluation problem and linear regression
2. The Health and Lifestyle survey
3. Binary dependent variables
4. The ordered probit model
5. Multinomial models
6. The bivariate probit model
7. The selection problem
8. Endogenous regressors: the evaluation problem revisited
9. Count data regression
10. Duration analysis
11. Panel data models
Concluding thoughts
Further reading
Glossary
Technical appendix
Software appendix: full Stata code
References
Index
© Copyright StataCorp LP 1996-2010.
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