boston: Boston house-price data

In stima: Simultaneous Threshold Interaction Modeling Algorithm

Boston house-price data

Description

The response is the median value of owner-occupied homes measured for each of 506 cencus tracts in the Boston area.

Usage

data(boston)

Format

A data frame with 506 observations on the following 16 variables.

c.medv

numeric response variable: median value of owner-occupied homes measured in 1000's USD

chas

a factor with levels "lontano" and "vicino", indicating if a suburb tracts the bound of Charles river (= "lontano") or not

long

a numeric variable: longitude

latid

a numeric variable: latitude of census tract

crim

a numeric variable: per capita crime rate per town

zn

a numeric variable: proportion of residential land zoned for lots over 25,000 sq.ft.

indus

a numeric variable: proportion of non-retail business acres per town

nox

a numeric variable: nitric oxides concentration (parts per 10 million)

rm

a numeric variable: average number of rooms per dwelling

age

a numeric variable: proportion of owner-occupied units built prior to 1940

dis

a numeric variable: weighted distances to five Boston employment centers

rad

a numeric variable: index of accessibility to radial highways

tax

a numeric variable: full-value property-tax rate per 10,000 USD

ptratio

a numeric variable: pupil-teacher ratio by town

b

a numeric variable: 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town

lstat

a numeric variable: percentage lower status of the population

Source

Statlib website: http://lib.stat.cmu.edu/datasets

References

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

stima documentation built on May 29, 2024, 2:32 a.m.