lawsch85

Data loads lazily. Type data(lawsch85) into the console.

datasets

Economics students new to both econometrics and R may find the
simultaneous introduction to both challenging. In particular, the process of
loading and preparing data before building one's first model can present
challenges. The `wooldridge` data package aims to lighten the task by loading
any data set from the text into the current working environment with a single command.
The package contains documentation for each set and all data has been
compressed to 62.73% of its original size. Just install the package, load it,
and use the `data()` function to call the data set you need to work with.
In addition, a wooldridge-vignette 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 to helpful resources
about using R for econometrics. Note: Data sets are from the 5th edition
(Wooldridge 2013, ISBN-13:978-1-111-53104-1), and are compatible with others.

Justin Shea

wooldridge

105 Data Sets from "Introductory Econometrics: A Modern
Approach" by Jeffrey M. Wooldridge

lawsch85 function

A data.frame with 156 rows and 21 variables:<ul>
<li>rank. law school ranking</li>
<li>salary. median starting salary</li>
<li>cost. law school cost</li>
<li>LSAT. median LSAT score</li>
<li>GPA. median college GPA</li>
<li>libvol. no. volumes in lib., 1000s</li>
<li>faculty. no. of faculty</li>
<li>age. age of law sch., years</li>
<li>clsize. size of entering class</li>
<li>north. =1 if law sch in north</li>
<li>south. =1 if law sch in south</li>
<li>east. =1 if law sch in east</li>
<li>west. =1 if law sch in west</li>
<li>lsalary. log(salary)</li>
<li>studfac. student-faculty ratio</li>
<li>top10. =1 if ranked in top 10</li>
<li>r11_25. =1 if ranked 11-25</li>
<li>r26_40. =1 if ranked 26-40</li>
<li>r41_60. =1 if ranked 41-60</li>
<li>llibvol. log(libvol)</li>
<li>lcost. log(cost)</li>
</ul>

lawsch85: lawsch85

Description

Usage

Arguments

Format

Examples