A study of real estate market in Kraków using the methods of spatial econometrics

Agnieszka Bitner , Jakub Bysina

Abstract

The article presents implementations of statistics and spatial econometrics that can be used to study real estate market. The analysis covered the area of the administrative unit of Śródmieście district of Kraków. It is a very diverse area of research as it includes both the city core of Kraków and its outskirts. Śródmieście is divided into three districts: Stare Miasto, Grzegórzki and Prądnik Czerwony. The transactional data come from the notarial deeds drawn up in 2011. During that period 739 purchase/sale transactions of apartments were concluded. The purpose of the article is to create a map of the average prices of apartments situated in the administrative unit of Śródmieście. The analysis of the apartment prices was conducted both for the separate districts of cadastral registration (bounds, cadastral districts) and districts and for the whole administrative unit.
Author Agnieszka Bitner (FoEEaLS / DoAGCaP)
Agnieszka Bitner,,
- Department of Agricultural Geodesy, Cadastre and Photogrammetry
, Jakub Bysina (FoEEaLS)
Jakub Bysina,,
- Faculty of Environmental Engineering and Land Surveying
Journal seriesGeomatics, Landmanagement and Landscape, ISSN 2300-1496, (B 6 pkt)
Issue year2014
No2
Pages7-17
Publication size in sheets0.5
Article number1
Keywords in Englishspatial econometrics, real estate market, statistical analysis, transaction prices • apartments • Kraków
DOIDOI:10.15576/GLL/2014.2.7
URL http://gll.ur.krakow.pl/zasoby/74/Geomatics2(2014)01.pdf
Internal identifierWIŚIG/2014/164
Languageen angielski
LicenseJournal (articles only); author's original; Uznanie Autorstwa - Użycie Niekomercyjne - Bez utworów zależnych (CC-BY-NC-ND); after publication
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A study of real estate market in Kraków using the methods of spatial econometrics 1,95 MB
Score (nominal)6
ScoreMinisterial score = 0.0, 26-07-2017, ArticleFromJournal
Ministerial score (2013-2016) = 6.0, 26-07-2017, ArticleFromJournal
Citation count*1 (2016-04-23)
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