Applied Econometrics with R

Here is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of models, from classical linear regression models for cross-section to recent semiparametric extensions.


This book provides an introduction to the R system for users with a background in economics. It covers a variety of regression models (beginning with the classical linear regression model estimated by ordinary least quares,) regression diagnostics and robustness issues, the nonlinear models of microeconomics (Logit, Probit, Tobit, and further models), time series and time series econometrics (including unit roots and cointegration).

First and only book on econometrics with R Numerous worked examples from a wide variety of sources Data and code available in an add-on package from CRAN Includes supplementary material: sn.pub/extras

Autorentext
Christian Kleiber, PhD, is assistant professor in the Department of Statistics at the University of Dortmund in Germany.

Inhalt
Basics.- Linear Regression.- Diagnostics and Alternative Methods of Regression.- Models of Microeconometrics.- Time Series.- Programming Your Own Analysis.

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