wooldridge: 115 Data Sets from "Introductory Econometrics: A Modern Approach, 7e" by Jeffrey M. Wooldridge

Students learning both econometrics and R may find the introduction to both challenging. The wooldridge data package aims to lighten the task by efficiently loading any data set found in the text with a single command. Data sets have been compressed to a fraction of their original size. Documentation files contain page numbers, the original source, time of publication, and notes from the author suggesting avenues for further analysis and research. If one needs an introduction to linear model syntax, a vignette contains R solutions to examples from each chapter of the text. Data sets are from the 7th edition (Wooldridge 2020, ISBN-13: 978-1-337-55886-0), and are backwards compatible with all versions of the text.

Version: 1.4-1
Depends: R (≥ 3.5.0)
Suggests: AER, knitr, plm, prais, rmarkdown, stargazer, tinytest
Published: 2021-06-24
Author: Justin M. Shea [aut, cre], Kennth H. Brown [ctb]
Maintainer: Justin M. Shea <jshea at roosevelt.edu>
BugReports: https://github.com/JustinMShea/wooldridge/issues/
License: GPL-3
URL: https://justinmshea.github.io/wooldridge/
NeedsCompilation: no
Materials: README NEWS
In views: Econometrics, TeachingStatistics
CRAN checks: wooldridge results

Downloads:

Reference manual: wooldridge.pdf
Vignettes: Introductory Econometrics Examples
Package source: wooldridge_1.4-1.tar.gz
Windows binaries: r-devel: wooldridge_1.3.1.zip, r-release: wooldridge_1.3.1.zip, r-oldrel: wooldridge_1.3.1.zip
macOS binaries: r-release (arm64): wooldridge_1.3.1.tgz, r-release (x86_64): wooldridge_1.3.1.tgz, r-oldrel: wooldridge_1.3.1.tgz
Old sources: wooldridge archive

Reverse dependencies:

Reverse suggests: DIDmultiplegt, TwoWayFEWeights

Linking:

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