hprice1

Wooldridge Source: Collected from the real estate pages of the Boston Globe during 1990. These are homes that sold in the Boston, MA area. Data loads lazily.

datasets

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 R model syntax, a
vignette contains solutions to examples from chapters 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 previous versions of the text.

Justin Shea

wooldridge

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

Justin M. Shea

Kennth H. Brown

hprice1 function

A data.frame with 88 observations on 10 variables:<ul>
<li>price: house price, $1000s</li>
<li>assess: assessed value, $1000s</li>
<li>bdrms: number of bdrms</li>
<li>lotsize: size of lot in square feet</li>
<li>sqrft: size of house in square feet</li>
<li>colonial: =1 if home is colonial style</li>
<li>lprice: log(price)</li>
<li>lassess: log(assess</li>
<li>llotsize: log(lotsize)</li>
<li>lsqrft: log(sqrft)</li>
</ul>

Format

Typically, it is very easy to obtain data on selling prices and characteristics of homes, using publicly available data bases. It is interesting to match the information on houses with other information – such as local crime rates, quality of the local schools, pollution levels, and so on – and estimate the effects of such variables on housing prices.
Used in Text: pages 110, 153-154, 160-161, 165, 211-212, 221, 222, 234, 278, 280, 299, 307

hprice1: hprice1

Description

Usage

Arguments

Format

Notes

Examples