hprice3

Data loads lazily. Type data(hprice3) 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

hprice3 function

A data.frame with 321 rows and 19 variables:<ul>
<li>year. 1978, 1981</li>
<li>age. age of house</li>
<li>agesq. age^2</li>
<li>nbh. neighborhood, 1-6</li>
<li>cbd. dist. to cent. bus. dstrct, ft.</li>
<li>inst. dist. to interstate, ft.</li>
<li>linst. log(inst)</li>
<li>price. selling price</li>
<li>rooms. # rooms in house</li>
<li>area. square footage of house</li>
<li>land. square footage lot</li>
<li>baths. # bathrooms</li>
<li>dist. dist. from house to incin., ft.</li>
<li>ldist. log(dist)</li>
<li>lprice. log(price)</li>
<li>y81. =1 if year = 1981</li>
<li>larea. log(area)</li>
<li>lland. log(land)</li>
<li>linstsq. linst^2</li>
</ul>

hprice3: hprice3

Description

Usage

Arguments

Format

Examples