wooldridge

Economics students new to both Econometrics and R may find the tasks of learning both a bit daunting. However, if your text is "Introductory Econometrics: A Modern Approach" by Jeffrey M. Wooldridge, then you are in luck! The wooldridge data package aims to lighten the task by loading any data set from the text with a single command.

In addition the package contains documentation for each data set and all data has been efficiently compressed resulting in a total size that is 62.73% of its original size. Just install the package, load it, and call the data set you need to work with.

But wait...there's more! Contained in the package is also the wooldridge-vignette, which shows you how to recreate examples from every chapter of the text, offering a relevant introduction to R's statistical model syntax.

Note: All data sets are from the 5th edition (Wooldridge 2013, ISBN-13:978-1-111-53104-1), which is compatible with most other editions.

Installation

If you don't already have devtools installed, try the ghit package, a lightweight github installer.

install.packages("ghit")

Next, install 'wooldridge' package from my GitHub page.

ghit::install_github("JustinMShea/wooldridge")

Example

Load the wooldridge package and use the data() function to load the desired set.

library(wooldridge)
data("jtrain")

Check out the documentation on the variable column names and what they are.

?jtrain

In addition, load the wooldridge-vignette for a recreation of examples from the text.

 vignette("wooldridge-vignette")