hprice2

Data loads lazily. Type data(hprice2) 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

hprice2 function

A data.frame with 506 rows and 12 variables:<ul>
<li>price. median housing price, $</li>
<li>crime. crimes committed per capita</li>
<li>nox. nit ox concen; parts per 100m</li>
<li>rooms. avg number of rooms</li>
<li>dist. wght dist to 5 employ centers</li>
<li>radial. access. index to rad. hghwys</li>
<li>proptax. property tax per $1000</li>
<li>stratio. average student-teacher ratio</li>
<li>lowstat. perc of people 'lower status'</li>
<li>lprice. log(price)</li>
<li>lnox. log(nox)</li>
<li>lproptax. log(proptax)</li>
</ul>

hprice2: hprice2

Description

Usage

Arguments

Format

Examples