Real estate prices in the Czech Republic: Behavioral approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00337074" target="_blank" >RIV/68407700:21110/19:00337074 - isvavai.cz</a>
Result on the web
<a href="http://www.tf.llu.lv/conference/proceedings2019/Papers/N087.pdf" target="_blank" >http://www.tf.llu.lv/conference/proceedings2019/Papers/N087.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22616/ERDev2019.18.N087" target="_blank" >10.22616/ERDev2019.18.N087</a>
Alternative languages
Result language
angličtina
Original language name
Real estate prices in the Czech Republic: Behavioral approach
Original language description
The article deals with the analysis and evaluation of the selected economic, social and technical parameters of real estate in the real estate market in the 119 largest cities of the Czech Republic. These cities have been selected because there is enough turnover in the real estate market. This paper will be examined the relationship between the market value of property, and market value of rent. The following economic and social parameters will be examined: average annual rental yield, average number of months needed to pay for an apartment, the share of people in distraint, the numbers of completed apartments per 1000 inhabitants per year, distance from the capital, average wages, and population migration rate. The following econometric and statistical methods are used in the article - linear regression, logarithmic regression and calculation of correlation coefficients. To obtain the input data, the software EVAL was used. EVAL software was developed by the author of this paper. EVAL is able to automatically collect all offers for sale and lease of properties in the Czech Republic that have been published on the Internet. The software has been running continuously since 2007. Data is collected and analysed from all cities in the Czech Republic in monthly periods. Every six months the database of the software expands by more than 750 000 price offers from Internet on purchase or rent of flats, houses, commercial real estate and allotments. Recently, the author extended the functionality of the software so that it is also able to retrieve data from the real estate cadaster. The presented results in this paper follow the previous research of the author in this area.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20101 - Civil engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Engineering for Rural Development, Proceedings of 18th International Scientific Conference
ISBN
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ISSN
1691-5976
e-ISSN
1691-5976
Number of pages
6
Pages from-to
1795-1800
Publisher name
Latvia University of Agriculture
Place of publication
Jelgava
Event location
Jelgava
Event date
May 22, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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