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Health Econometrics Using Stata by Partha Deb

By: Contributor(s): Publication details: Stata Press USA 2017Description: xvi, 264 pages; illustrations: 24 cmISBN:
  • 9781597182287
Subject(s): DDC classification:
  • 338.433621
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
Abstract: 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.
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Item type Current library Collection Call number Status Date due Barcode
Book Book Indian Institute of Management Visakhapatnam General Stacks Non-fiction 338.433621 PAR (Browse shelf(Opens below)) Available 001148

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.

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