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Applied Econometrics with R

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ISBN-10: 0387773169

ISBN-13: 9780387773162

Edition: 2008

Authors: Christian Kleiber, Achim Zeileis

List price: $99.99
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This text looks at applied econometrics using the R system for statistical computing and graphics. It presents examples for a range of econometric models, from classical linear regression models for cross-section, time series or panel data and the common non-linear models of microeconometrics.
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Book details

List price: $99.99
Copyright year: 2008
Publisher: Springer New York
Publication date: 8/28/2008
Binding: Paperback
Pages: 222
Size: 6.10" wide x 9.25" long x 0.20" tall
Weight: 1.100
Language: English

Preface
Introduction
An Introductory R Session
Getting Started
Working with R
Getting Help
The Development Model
A Brief History of R
Basics
R as a Calculator
Matrix Operations
R as a Programming Language
Formulas
Data Management in R
Object Orientation
R Graphics
Exploratory Data Analysis with R
Exercises
Linear Regression
Simple Linear Regression
Multiple Linear Regression
Partially Linear Models
Factors, Interactions, and Weights
Linear Regression with Time Series Data
Linear Regression with Panel Data
Systems of Linear Equations
Exercises
Diagnostics and Alternative Methods of Regression
Regression Diagnostics
Diagnostic Tests
Robust Standard Errors and Tests
Resistant Regression
Quantile Regression
Exercises
Models of Microeconometrics
Generalized Linear Models
Binary Dependent Variables
Regression Models for Count Data
Censored Dependent Variables
Extensions
Exercises
Time Series
Infrastructure and "Naive" Methods
Classical Model-Based Analysis
Stationarity, Unit Roots, and Cointegration
Time Series Regression and Structural Change
Extensions
Exercises
Programming Your Own Analysis
Simulations
Bootstrapping a Linear Regression
Maximizing a Likelihood
Reproducible Econometrics Using Sweave()
Exercises
References
Index