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Applied Econometrics with R
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R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning 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 mid-1997.
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 open-source 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 open-source philosophy make R an ideal environment for reproducible econometric research.
This book provides an introduction to econometric computing with R; it is not an econometrics textbook. Preferably readers have taken an introductory econometrics course before but not necessarily one that makes heavy use of matrices. However, we do assume that readers are somewhat familiar with matrix notation, specifically matrix representations of regression models. Thus, we hope the book might be suitable as a “second book” for a course with sufficient emphasis on applications and practical issues at the intermediate or beginning graduate level.
Christian Kleiber · Achim Zeileis - Personal Name
1st Edtion
978-0-387-77318-6
NONE
Applied Econometrics with R
Economics
English
SpringerScience BusinessMedia
2008
USA
1-229
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