Health Econometrics Using Stata
Partha Deb Author
Health Econometrics Using Stata by Partha Deb - USA Stata Press 2017 - xvi, 264 pages; illustrations: 24 cm.
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
ealth 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.
9781597182287
Mathematics & Statistics
Statistics for Business, Finance & Economics
338.433621
Health Econometrics Using Stata by Partha Deb - USA Stata Press 2017 - xvi, 264 pages; illustrations: 24 cm.
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
ealth 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.
9781597182287
Mathematics & Statistics
Statistics for Business, Finance & Economics
338.433621