Applied Econometrics with R
Christian Kleiber · 2008
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About the book
"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."--BOOK JACKET.
Book details
- Year
- 2008
- Language
- English
- Publisher
- Springer
- Editions
- 3
- Pages
- 221
- ISBN
- 9780387773162
Data source: Wikidata