Applied Econometrics with R
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Description: 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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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $89.99
Copyright year: 2008
Publication date: 8/28/2008
Size: 6.25" wide x 9.00" long x 0.50" tall
|An Introductory R Session|
|Working with R|
|The Development Model|
|A Brief History of R|
|R as a Calculator|
|R as a Programming Language|
|Data Management in R|
|Exploratory Data Analysis with R|
|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|
|Diagnostics and Alternative Methods of Regression|
|Robust Standard Errors and Tests|
|Models of Microeconometrics|
|Generalized Linear Models|
|Binary Dependent Variables|
|Regression Models for Count Data|
|Censored Dependent Variables|
|Infrastructure and "Naive" Methods|
|Classical Model-Based Analysis|
|Stationarity, Unit Roots, and Cointegration|
|Time Series Regression and Structural Change|
|Programming Your Own Analysis|
|Bootstrapping a Linear Regression|
|Maximizing a Likelihood|
|Reproducible Econometrics Using Sweave()|