HousePrices: House Prices in the City of Windsor, Canada
In AER: Applied Econometrics with R

HousePrices

R Documentation

House Prices in the City of Windsor, Canada

Description

Sales prices of houses sold in the city of Windsor, Canada, during July, August and September, 1987.

Usage

data("HousePrices")

Format

A data frame containing 546 observations on 12 variables.

price: Sale price of a house.
lotsize: Lot size of a property in square feet.
bedrooms: Number of bedrooms.
bathrooms: Number of full bathrooms.
stories: Number of stories excluding basement.
driveway: Factor. Does the house have a driveway?
recreation: Factor. Does the house have a recreational room?
fullbase: Factor. Does the house have a full finished basement?
gasheat: Factor. Does the house use gas for hot water heating?
aircon: Factor. Is there central air conditioning?
garage: Number of garage places.
prefer: Factor. Is the house located in the preferred neighborhood of the city?

Source

Journal of Applied Econometrics Data Archive.

http://qed.econ.queensu.ca/jae/1996-v11.6/anglin-gencay/

References

Anglin, P., and Gencay, R. (1996). Semiparametric Estimation of a Hedonic Price Function. Journal of Applied Econometrics, 11, 633–648.

Verbeek, M. (2004). A Guide to Modern Econometrics, 2nd ed. Chichester, UK: John Wiley.

Examples

data("HousePrices")

### Anglin + Gencay (1996), Table II
fm_ag <- lm(log(price) ~ driveway + recreation + fullbase + gasheat + 
  aircon + garage + prefer + log(lotsize) + log(bedrooms) + 
  log(bathrooms) + log(stories), data = HousePrices)

### Anglin + Gencay (1996), Table III
fm_ag2 <- lm(log(price) ~ driveway + recreation + fullbase + gasheat + 
  aircon + garage + prefer + log(lotsize) + bedrooms + 
  bathrooms + stories, data = HousePrices)

### Verbeek (2004), Table 3.1
fm <- lm(log(price) ~ log(lotsize) + bedrooms + bathrooms + aircon, data = HousePrices)
summary(fm)

### Verbeek (2004), Table 3.2
fm_ext <- lm(log(price) ~ . - lotsize + log(lotsize), data = HousePrices)
summary(fm_ext)

### Verbeek (2004), Table 3.3
fm_lin <- lm(price ~ . , data = HousePrices)
summary(fm_lin)

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