hvidovre: Houseprice data

Description Usage Format Source References Examples

Description

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

Usage

1
data("hvidovre")

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

Source

Panduro et al (in review JAERE)

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

1

PanJen documentation built on May 1, 2019, 10:17 p.m.

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