




Here is the first book on applied econometrics using the R system for statistical computing and graphics. It presents handson examples for a wide range of models, from classical linear regression models for crosssection to recent semiparametric extensions.
R is a language and environment for data analysis and graphics. It may be
considered an implementation of S, an awardwinning language initially developed
at Bell Laboratories since the late 1970s. The R project was initiated
by Robert Gentleman and Ross Ihaka at the University of Auckland, New
Zealand, in the early 1990s, and has been developed by an international team
since mid1997.
Historically, econometricians have favored other computing environments,
some of which have fallen by the wayside, and also a variety of packages with
canned routines. We believe that R has great potential in econometrics, both
for research and for teaching. There are at least three reasons for this: (1) R
is mostly platform independent and runs on Microsoft Windows, the Mac
family of operating systems, and various flavors of Unix/Linux, and also on
some more exotic platforms. (2) R is free software that can be downloaded
and installed at no cost from a family of mirror sites around the globe, the
Comprehensive R Archive Network (CRAN); hence students can easily install
it on their own machines. (3) R is opensource software, so that the full source
code is available and can be inspected to understand what it really does,
learn from it, and modify and extend it. We also like to think that platform
independence and the opensource philosophy make R an ideal environment
for reproducible econometric research. 



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