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PanJen (version 1.5)

hvidovre: Houseprice data

Description

A dataset with trade price and attributes for 900 homes in a Danish munnicipality

Usage

data("hvidovre")

Arguments

Format

A data frame with 901 observations on the following 19 variables

lprice

a numeric vector, price, log price in 1000 EUR

brick

a numeric vector, dummy, wall made out of brick =1

roof_tile

a numeric vector, roof_tile

dummy, roof made out of tiles =1
roof_cemen

a numeric vector, dummy, roof made out of cement

y7

a numeric vector, home sold in 2007

y8

a numeric vector, home sold in 2008

y9

a numeric vector, home sold in 2009

rebuild70

a numeric vector, home rebuild in 1970's

rebuild80

a numeric vector, home rebuild in 1980's

rebuild90

a numeric vector, home rebuild in 1990's

rebuild00

a numeric vector,home rebuild in 2000's

area

a numeric vector,living area in square meters

age

a numeric vector, build year

bathrooms

a numeric vector, number of bathrooms

highways

a numeric vector, distance to nearest highway in meters

big_roads

a numeric vector, distance to nearest large road in meters

railways

a numeric vector, railways

distance to nearest railway in meters
nature_SLD

a numeric vector, nature_SLD

distance to nearest nature area in meters
lake_SLD

a numeric vector,distance to nearest lake in meters

References

Panduro T.E., Jensen, C.U, Lundhede, T.H., von Graevenitz, K. and Thorsen, B.J., Estimating demand schedules in hedonic analysis: The case of urban parks, (in review JAERE)

Examples

Run this code
# NOT RUN {
data(hvidovre)
# }

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