Real estate prices in the Czech Republic: Behavioral approach

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Real estate prices in the Czech Republic: Behavioral approach

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Real estate prices in the Czech Republic: Behavioral approach

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20101 - Civil engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Engineering for Rural Development, Proceedings of 18th International Scientific Conference

ISBN

—

ISSN

1691-5976

e-ISSN

1691-5976

Počet stran výsledku

6

Strana od-do

1795-1800

Název nakladatele

Latvia University of Agriculture

Místo vydání

Jelgava

Místo konání akce

Jelgava

Datum konání akce

22. 5. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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