Hprice: Hprice: Housing prices and Air Pollution in Boston, USA

In thoree/stat340: Data and functions for BIAS at NMBU

Hprice: Housing prices and Air Pollution in Boston, USA

Description

This data set is a selection of variables from the Boston house-price data originally published by Harrison, D. and Rubinfeld, D.L. The data contains the median housing price in 506 communities in the Boston area, measurements of air pollution and other information collected by the U.S Census Service.

Usage

Hprice

Format

A data frame with 506 observations (rows) and 12 variables (columns).

	Column name	Data type	Description	Values
[,1]	price	numeric	Median housing price in US dollars	(5000 - 50001)
[,2]	crime	numeric	Crimes committed per capita	(0.006 - 88.976)
[,3]	nox	numeric	Nitrous oxide in parts per 100 million	(3.85 - 8.71)
[,4]	rooms	numeric	Average number of rooms per house	(3.56 - 8.78)
[,5]	dist	numeric	Weighted distance to 5 employ centers in miles	(1.13 - 12.13)
[,6]	radial	numeric	Accessibility index to radial highways	(1 - 24)
[,7]	proptax	numeric	Property tax per $1000	(18.7 - 71.1)
[,8]	stratio	numeric	Average student-teacher ratio	(12.6 - 22.0)
[,9]	lowstat	numeric	Percentage of people with 'lower status'	(1.73 - 39.07)
[,10]	lprice	numeric	log(price)	(8.517193 - 10.8198)
[,11]	lnox	numeric	log(nox)	(1.348073 - 2.164472)
[,12]	lproptax	numeric	log(proptax)	(5.231109 - 6.566672)

Source

Wooldridge, J.M. (2019) Introductory Econometrics: A Modern Approach, 7th Edition. Cengage Learning.

References

Harrison, D., Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air J. Environ. Economics & Management, 5, 81-102.

Examples

# The structure of the object
str(Hprice)

# Scatterplot matrix with some of the variables
pairs(Hprice[, 1:9])

thoree/stat340 documentation built on June 30, 2024, 4:04 p.m.