Health Econometrics Using Stata
Language: English
Published by Stata Press, 2017
- Softcover
- Used
Condition: Used - As new
£ 39.50
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Add to basketItem description from seller
: Este libro aborda la econometría de la salud utilizando Stata, cubriendo temas como la economía médica y la econometría aplicada al ámbito de la salud. Explora métodos y técnicas para el análisis de datos de salud, proporcionando una guía práctica para investigadores y profesionales en el campo. EAN: 9781597182287 Tipo: Libros Categoría: Salud y Bienestar|Ciencias|Tecnología|Negocios y Economía Título: Health Econometrics Using Stata Autor: Willard G. Manning| Partha Deb| Edward C. Norton Idioma: en Páginas: 264 Formato: Tapa blanda.
Seller Inventory # Happ-2026-08-04-aacd4953
- Title
- Health Econometrics Using Stata
- Author
- Willard G. Manning; Partha Deb; Edward C. Norton
- Publisher
- Stata Press
- Publication year
- 2017
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1597182281
- ISBN 13
- 9781597182287
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.
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