Applied econometrics with R
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 research. The goal of this book is to provide a guide to R for users with a background in economics or the social sciences. Readers are assumed to have a background in basic statistics and econometrics at the undergraduate level. A large number of examples should make the book of interest to graduate students, researchers and practitioners alike.
| Main Authors: | , |
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| Format: | Texto biblioteca |
| Language: | |
| Published: |
New York (USA) Springer
2008
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| Subjects: | Computer software, computer applications, Econometrics, Data processing, Data analysis, |
| Online Access: | http://www.springerlink.com/content/978-0-387-77316-2#section=164219&page=21&locus=7 |
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