Applied Econometrics with R Paperback - 2008 - 2008th Edition
by Christian Kleiber
- Used
- very good
- Paperback
Description
Standard delivery: 14 to 28 days
Details
- Title Applied Econometrics with R
- Author Christian Kleiber
- Binding Paperback
- Edition number 2008th
- Edition 2008
- Condition Used - Very Good
- Pages 222
- Volumes 1
- Language ENG
- Publisher Springer, NY
- Date 2008
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- Bookseller's Inventory # F-133-157
- ISBN 9780387773162 / 0387773169
- Weight 0.75 lbs (0.34 kg)
- Dimensions 9 x 6.1 x 0.5 in (22.86 x 15.49 x 1.27 cm)
- Library of Congress subjects Statistics - Data processing, R (Computer program language)
- Library of Congress Catalog Number 2008934356
- Dewey Decimal Code 519.502
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From the publisher
From the rear cover
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.
An R package accompanying this book, AER, is available from the Comprehensive R Archive Network (CRAN) at http: //CRAN.R-project.org/package=AER.
It contains some 100 data sets taken from a wide variety of sources, the full source code for all examples used in the text plus further worked examples, e.g., from popular textbooks. The data sets are suitable for illustrating, among other things, the fitting of wage equations, growth regressions, hedonic regressions, dynamic regressions and time series models as well as models of labor force participation or the demand for health care.
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.
Christian Kleiber is Professor of Econometrics and Statistics at Universitt Basel, Switzerland. Achim Zeileis is Assistant Professor in the Dept. of Statistics and Mathematics at Wirtschaftsuniversitt Wien, Austria. R users since version 0.64.0, they have been collaborating on econometric methodology in R, including several R packages, for the past eight years.
