Using R for Introductory Econometrics
Language: English
Published by CreateSpace Independent Publishing Platform 01/b /05 F, 2016
- Softcover
- Used
Seller: Bahamut Media, Reading, United KingdomBahamut Media
AbeBooks seller since August 15, 2012
Condition: Used - Very good
US$ 6.39
Quantity: 1 available
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Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
Seller Inventory # 6545-9781523285136
- Title
- Using R for Introductory Econometrics
- Author
- Florian Heiss
- Publisher
- CreateSpace Independent Publishing Platform 01/b /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.
Bahamut Media
Reading, United Kingdom
AbeBooks seller since August 15, 2012
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