Estimation of Unemployment Using Changes in the Housing Market
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F21%3A10248539" target="_blank" >RIV/61989100:27510/21:10248539 - isvavai.cz</a>
Result on the web
<a href="https://www.ekf.vsb.cz/ves/cs/" target="_blank" >https://www.ekf.vsb.cz/ves/cs/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Estimation of Unemployment Using Changes in the Housing Market
Original language description
The aim of the article is to identify the relationship between housing market and unemployment. The relationship was searched by using of very unique data recorded from the housing market servers. The data describing number of apartments for sale, apartments for rent and single family houses for sale were recorded daily since 2018. The data was transformed to the universal housing market indicator. Using of the indicator there was constructed the model which was tested. I find out there is close relationship between housing market and unemployment. The changes on housing market and labour market are registered just in time. There is possible to construct very simple and easy model which can monitor daily changes of unemployment. The model can help to all analysts in their day to day decisions.
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
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Public Economics and Administration 2021 : proceedings of the 14th international scientific conference : 8th September 2021, Ostrava, Czech Republic
ISBN
978-80-248-4580-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
375-382
Publisher name
Vysoká škola báňská - Technická univerzita Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Sep 8, 2021
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
001069569800032