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The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.

Home Page: https://justinmshea.github.io/wooldridge

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r econometrics cran r-package

wooldridge's Introduction

wooldridge: 115 Data Sets for Econometrics

Economics students new to both Econometrics and R may find the introduction to both challenging. However, if their text is "Introductory Econometrics: A Modern Approach, 7e" by Jeffrey M. Wooldridge, they are in luck!

The wooldridge package aims to lighten the task by easily loading any data set from the text. The package contains full documentation for each set and all data have been compressed to a fraction of their original size. Just install the package, load it, and call the data you wish to work with.

But wait...there's more! A vignette, Introductory Econometrics Examples✨, illustrates solutions to examples from each chapter of the text, offering a relevant introduction to econometric modelling with R. The vignette also includes an Appendix of R resources, such as Using R for Introductory Econometrics by Florian Heiss.

Note: All data sets are from the 7th edition (Wooldridge 2020, ISBN-13: 978-1-337-55886-0), which is compatible with all other editions.

Installation

One can Install wooldridge directly from Github or The Comprehensive R Archive Network (CRAN). Recent additions to the data set has bumped the dependency up to R >= 3.5.0.

# 7th edition on CRAN
install.packages("wooldridge")

# 7th edition
remotes::install_github("JustinMShea/wooldridge")

Documentation

It's always recommended that one read supporting documentation for data sets of interest. This becomes trivial with the wooldridge package:

?wage1

Documentation includes Wooldridge's original source, variable descriptions, as well as page numbers in the referenced text. Some sets even contain additional notes suggesting related research projects or exploration.

Example

Load the wooldridge package and use the data() function to load the desired data set. Data set names match those in the text. Once loaded into the working environment, modeling data is quick and easy, leaving learners with more time to focus on interpretation of results and general diagnostics.

library(wooldridge)

data("wage1")

wageModel <- lm(lwage ~ educ + exper + tenure, data = wage1)

summary(wageModel)

wooldridge's People

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wooldridge's Issues

Reduce and rework Vignette

Reduce the size and scope of the vignette to a handful of interesting examples, with better workflows

Considering eliminating it altogether, and reducing package size and suggested packages in the process!

Florian Hess just came out with a 2nd edition of his Using R for Introductory Econometrics book, and its excellent. He offers a far more in depth treatment than this vignette, and should be the go to source for using R to work with the textbook.

Phillips - new version

Hey! I've been using this package to teach from and it's been very helpful so thanks a lot! I've found that the Phillips dataset that's contained in the package is the old version. I found the new version in Stata format from the publisher so was able to import into R and use it but just wanted to let you know.

Not compatible with R version 3.6 and 4.0

install.packages("woolridge")
Installing package into ‘/home/rstudio-user/R/x86_64-pc-linux-gnu-library/3.6’
(as ‘lib’ is unspecified)
Warning in install.packages :
package ‘woolridge’ is not available (for R version 3.6.0)

install.packages("woolridge")
Warning in install.packages :
package ‘woolridge’ is not available (for R version 4.0.0)

Please make woolridge available for newer versions of R.
Thank you.

attend

Hi Justin, from some reason there is a problem when trying to subset() the attend data by priGPA. Here are
some details.

It seems to work fine as long as priGPA is an integer:

subset(attend, priGPA == 3 & ACT == 21)
attend termGPA priGPA ACT final atndrte hwrte frosh soph missed
512 30 3.38 3 21 16 93.75 100 0 1 2
643 30 3.25 3 21 27 93.75 100 1 0 2
645 32 3.04 3 21 28 100.00 100 0 1 0
stndfnl
512 -2.0483193
643 0.2626050
645 0.4726891

However, if priGPA has decimals, the subsetting doesn't work properly:

subset(attend, priGPA == 3.65 & ACT == 20)
[1] attend termGPA priGPA ACT final atndrte hwrte frosh
[9] soph missed stndfnl
<0 rows> (or 0-length row.names)

Here is my session info:

sessionInfo()
R version 4.3.2 (2023-10-31)
Platform: x86_64-apple-darwin20 (64-bit)
Running under: macOS Sonoma 14.4.1

Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRlapack.dylib; LAPACK version 3.11.0

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

time zone: Europe/Rome
tzcode source: internal

attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base

other attached packages:
[1] wooldridge_1.4-3

loaded via a namespace (and not attached):
[1] utf8_1.2.3 R6_2.5.1 tidyselect_1.2.0
[4] Matrix_1.6-1.1 lattice_0.21-9 magrittr_2.0.3
[7] glue_1.6.2 tibble_3.2.1 foreign_0.8-85
[10] pkgconfig_2.0.3 dplyr_1.1.2 generics_0.1.3
[13] lifecycle_1.0.3 ttutils_1.0-1.1 cli_3.6.1
[16] fansi_1.0.4 xtable_1.8-4 grid_4.3.2
[19] vctrs_0.6.3 compiler_4.3.2 rstudioapi_0.14
[22] tools_4.3.2 pillar_1.9.0 EQL_1.0-1
[25] rlang_1.1.1

page numbers are stale, and misleading. Need to be updated