Hedonic Price Model in the Prague Property Market
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F08%3A00501242" target="_blank" >RIV/49777513:23520/08:00501242 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Hedonic Price Model in the Prague Property Market
Popis výsledku v původním jazyce
Hedonic price model was developed to quantify the influence of structural, accessibility and environmental attributes on the price of housing in the city of Prague. We have considered the size of flat as structural variable, the distance from the dwelling to the city center and to the nearest tube station as accessibility variables, and the proximity to the nearest urban forest as environmental variable. We have developed several regression models and tested their robustness in terms of the significanceof parameters and the amount of variability explained. The sample is made up of 1,708 observations gathered from the city of Prague. Results show the size of flat is the most relevant variable explaining the price of housing. We have found also a significant inverse relationship between the selling price and its distance from a city center and urban forests.
Název v anglickém jazyce
Hedonic Price Model in the Prague Property Market
Popis výsledku anglicky
Hedonic price model was developed to quantify the influence of structural, accessibility and environmental attributes on the price of housing in the city of Prague. We have considered the size of flat as structural variable, the distance from the dwelling to the city center and to the nearest tube station as accessibility variables, and the proximity to the nearest urban forest as environmental variable. We have developed several regression models and tested their robustness in terms of the significanceof parameters and the amount of variability explained. The sample is made up of 1,708 observations gathered from the city of Prague. Results show the size of flat is the most relevant variable explaining the price of housing. We have found also a significant inverse relationship between the selling price and its distance from a city center and urban forests.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
AH - Ekonomie
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)
Ostatní
Rok uplatnění
2008
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů