Using R for Introductory Econometrics
Language: English
Published by CreateSpace Independent Publishing Platform 05 F, 2016
- Softcover
- Used
Seller: AwesomeBooks, Wallingford, United KingdomAwesomeBooks
AbeBooks seller since November 28, 2006
Condition: Used - Very good
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Using R for Introductory Econometrics This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Seller Inventory # 7719-9781523285136
- Title
- Using R for Introductory Econometrics
- Author
- Florian Heiss
- Publisher
- CreateSpace Independent Publishing Platform 05 F
- Publication year
- 2016
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1523285133
- ISBN 13
- 9781523285136
Note that the second edition is now available. It seems like a good idea to get that instead..
- Introduces the popular, powerful and free programming language and software package R
- Focus: implementation of standard tools and methods used in econometrics
- Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notation
- Companion website with full text, all code for download and other goodies
Praise:
- "A very nice resource for those wanting to use R in their introductory econometrics courses." (Jeffrey M. Wooldridge)
- Using R for Introductory Econometrics is a fabulous modern resource. I know I'm going to be using it with my students, and I recommend it to anyone who wants to learn about econometrics and R at the same time." (David E. Giles in his blog "Econometrics Beat")
Topics:
- A gentle introduction to R
- Simple and multiple regression in matrix form and using black box routines
- Inference in small samples and asymptotics
- Monte Carlo simulations
- Heteroscedasticity
- Time series regression
- Pooled cross-sections and panel data
- Instrumental variables and two-stage least squares
- Simultaneous equation models
- Limited dependent variables: binary, count data, censoring, truncation, and sample selection
- Formatted reports and research papers combining R with R Markdown or LaTeX
"Synopsis" may belong to another edition of this title.
AwesomeBooks
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AbeBooks seller since November 28, 2006
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