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Produktbild: Health Econometrics Using Stata

Health Econometrics Using Stata

78,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

08.09.2017

Verlag

Taylor and Francis

Seitenzahl

264

Maße (L/B/H)

23,6/18,7/2,2 cm

Gewicht

578 g

Sprache

Englisch

ISBN

978-1-59718-228-7

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

08.09.2017

Verlag

Taylor and Francis

Seitenzahl

264

Maße (L/B/H)

23,6/18,7/2,2 cm

Gewicht

578 g

Sprache

Englisch

ISBN

978-1-59718-228-7

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Health Econometrics Using Stata

  • Preface 1 Introduction 1.1 Outline 1.2 Themes 1.3 Health econometric myths 1.4 Stata friendly 1.5 A useful way forward 2 Framework 2.1 Introduction 2.2 Potential outcomes and treatment effects 2.3 Estimating ATEs 2.4 Regression estimates of treatment effects 2.5 Incremental and marginal effects 2.6 Model selection 2.7 Other issues 3 MEPS data 3.1 Introduction 3.2 Overview of all variables 3.3 Expenditure and use variables 3.4 Explanatory variables 3.5 Sample dataset 3.6 Stata resources 4 The linear regression model: Specification and checks 4.1 Introduction 4.2 The linear regression model 4.3 Marginal, incremental, and treatment effects 4.4 Consequences of misspecification 4.5 Visual checks 4.6 Statistical tests 4.7 Stata resources 5 Generalized linear models 5.1 Introduction 5.2 GLM framework 5.3 GLM examples 5.4 GLM predictions 5.5 GLM example with interaction term 5.6 Marginal and incremental effects 5.7 Example of marginal and incremental effects 5.8 Choice of link function and distribution family 5.9 Conclusions 5.10 Stata resources 6 Log and Box-Cox models 6.1 Introduction 6.2 Log models 6.3 Retransformation from ln(y) to raw scale 6.4 Comparison of log models to GLM 6.5 Box-Cox models 6.6 Stata resources 7 Models for continuous outcomes with mass at zero 7.1 Introduction 7.2 Two-part models 7.3 Generalized tobit 7.4 Comparison of two-part and generalized tobit models 7.5 Interpretation and marginal effects 7.6 Single-index models that accommodate zeros 7.7 Statistical tests 7.8 Stata resources 8 Count models 8.1 Introduction 8.2 Poisson regression 8.3 Negative binomial models 8.4 Hurdle and zero-inflated count models 8.5 Truncation and censoring 8.6 Model comparisons 8.7 Conclusion 8.8 Stata resources 9 Models for heterogeneous effects 9.1 Introduction 9.2 Quantile regression 9.3 Finite mixture models 9.4 Nonparametric regression 9.5 Conditional density estimator 9.6 Stata resources 10 Endogeneity 10.1 Introduction 10.2 Endogeneity in linear models 10.3 Endogeneity with a binary endogenous variable 10.4 GMM 10.5 Stata resources 11 Design effects 11.1 Introduction 11.2 Features of sampling designs 11.3 Methods for point estimation and inference 11.4 Empirical examples 11.5 Conclusion 11.6 Stata resources References.