"Using R for Introductory Econometrics"

February 8, 2016

(This article was first published on Econometrics Beat: Dave Giles' Blog, and kindly contributed to R-bloggers)

Recently, I received an email from Florian Heiss, Professor and Chair of Statistics and Econometrics at the Henrich Heine University of Dusseldorf.

He wrote:

“I’d like to introduce you to a new book I just published that might be of interest to you: Using R for Introductory Econometrics.
The goal: An introduction to R that makes it as easy as possible for undergrad students to link theory to practice without any hurdles regarding material, notation, or terminology. The approach: Take a popular econometrics textbook (Jeff Wooldridge’s Introductory Econometrics) and make the whole thing as consistent as possible.
I introduce R and show how to implement all methods Wooldridge mentions mostly using his examples. I also add some Monte Carlo simulation and present tools like R Markdown.
The book is self-published, so I can offer the whole text for free online reading and a hard copy is really cheap as well.”
The link for the online version of Florian’s book is http://www.urfie.net/.
What you`ll find there are two versions of his 365-page book (Flash and HTML5) that you can read online; and all of the related R files for easy download.

Florian has used the CreateSpace publishing platform to produce an extremely professional product.

Using R for Introductory Econometrics is a fabulous modern resource. I know I’m going to be using with my students, and I recommend it anyone who wants to learn about econometrics and R at the same time.
If you’re after a hard copy of the book you can purchase it for the bargain price of US$26.90 directly from CreateSpace, or from Amazon.

© 2016, David E. Giles

To leave a comment for the author, please follow the link and comment on their blog: Econometrics Beat: Dave Giles' Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)