2013
DOI: 10.1007/s11943-012-0125-7
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Ein hedonischer Immobilienpreisindex auf Basis von Internetdaten: 2007–2011

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Cited by 24 publications
(21 citation statements)
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References 8 publications
(3 reference statements)
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“…County values are grouped into quintiles and depicted by different shades of gray (darker colors indicate larger values). County-level rental price indices were calculated using the hedonic time-dummy method and the universe of rental price data from 2007 to 2016, following the methodological approach outlined in Bauer et al (2013). The hedonic regressions were applied to stratified samples at county level, including municipality fixed effects as well as the full set of property specific characteristics used in this paper.…”
Section: Data and Settingmentioning
confidence: 99%
“…County values are grouped into quintiles and depicted by different shades of gray (darker colors indicate larger values). County-level rental price indices were calculated using the hedonic time-dummy method and the universe of rental price data from 2007 to 2016, following the methodological approach outlined in Bauer et al (2013). The hedonic regressions were applied to stratified samples at county level, including municipality fixed effects as well as the full set of property specific characteristics used in this paper.…”
Section: Data and Settingmentioning
confidence: 99%
“…The regional price indices account for characteristics of the facility as well as for regional and time differences and is comparable to common hedonic price regressions (e. g. Sirmans et al 2005) as applied for Germany in Bauer et al (2013), for example.…”
Section: Methodsmentioning
confidence: 88%
“…Dwelling characteristics (A) Dwelling typology [11][12][13][14][15][16][17][18][19][20][21][22][23][24] Age of the dwelling [12,16, Dwelling surface area [11,13,15,16,18,[20][21][22][23][24][26][27][28][29][30][31][33][34][35][36][37][38][39][41][42][43][44][45][46][48][49][50][51][52][53][54]…”
Section: Characteristics Referencesmentioning
confidence: 99%