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Using R for Introductory Econometrics, by Florian Heiss
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- 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
- Sales Rank: #256418 in Books
- Published on: 2016-02-05
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x .80" w x 8.00" l, 1.55 pounds
- Binding: Paperback
- 354 pages
Most helpful customer reviews
1 of 1 people found the following review helpful.
Good companion guide.
By James W. Hesford
I've been working my way through the book and am happy with my purchase. It is available online but I like having a printed, bound copy.
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