| LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2008934356 |
| INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780387773162 |
| INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
0387773169 |
| DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Call number |
519.50285/5133 22 |
| MAIN ENTRY--PERSONAL NAME |
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| Authors |
Kleiber, Christian |
| TITLE STATEMENT |
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| Title |
Applied Econometrics with R / |
| Statement of responsibility, etc |
Christian Kleiber, Achim Zeileis |
| PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication |
New York : |
| Publisher |
Springer, |
| Date |
c2008. |
| PHYSICAL DESCRIPTION |
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| Extent |
x, 221 p. : |
| Other Details |
ill. ; |
| Size |
24 cm. |
| SUMMARY |
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| Summary |
R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped 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 ?avors 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. |
| SUMMARY |
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| Summary |
This 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 econometric models, from classical linear regression models for cross-section, time series or panel data and the common non-linear models of microeconometrics such as logit, probit and tobit models, to recent semiparametric extensions. In addition, it provides a chapter on programming, including simulations, optimization, and an introduction to R tools enabling reproducible econometric |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
R (Computer program language) |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
Econometrics |
| General |
Data processing |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
Statistics |
| General |
Data processing |
| ADDED ENTRY |
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| Name |
Zeileis, Achim |
| ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
https://uowd.box.com/s/qb1me0s3046evk008bsvl8f0v0cngh64 |
| Public note |
Location Map |
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58860 |
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2458 |
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27247 |
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36422 |
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58861 |