# R Dataset / Package Ecdat / Hedonic

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## Visual Summaries

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Dataset Help

On this Picostat.com statistics page, you will find information about the Hedonic data set which pertains to Hedonic Prices of Census Tracts in Boston . The Hedonic data set is found in the Ecdat R package. You can load the Hedonic data set in R by issuing the following command at the console data("Hedonic"). This will load the data into a variable called Hedonic. If R says the Hedonic data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Hedonic R data set. The size of this file is about 58,348 bytes.

Documentation

## Hedonic Prices of Census Tracts in Boston

### Description

a cross-section

number of observations : 506

observation : regional

country : United States

### Usage

data(Hedonic)

### Format

A dataframe containing :

mv

median value of owner–occupied homes

crim

crime rate

zn

proportion of 25,000 square feet residential lots

indus

chas

is the tract bounds the Charles River ?

nox

annual average nitrogen oxide concentration in parts per hundred million

rm

average number of rooms

age

proportion of owner units built prior to 1940

dis

weighted distances to five employment centers in the Boston area

index of accessibility to radial highways

tax

full value property tax rate (\$/\$10,000)

ptratio

pupil/teacher ratio

blacks

proportion of blacks in the population

lstat

proportion of population that is lower status

townid

town identifier

### Source

Harrison, D. and D.L. Rubinfeld (1978) “Hedonic housing prices and the demand for clean air”, Journal of Environmental Economics Ans Management, 5, 81–102.

Belsley, D.A., E. Kuh and R. E. Welsch (1980) Regression diagnostics: identifying influential data and sources of collinearity, John Wiley, New–York.

### References

Baltagi, Badi H. (2003) Econometric analysis of panel data, John Wiley and sons, http://www.wiley.com/legacy/wileychi/baltagi/.

Index.Source, Index.Economics, Index.Econometrics, Index.Observations
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