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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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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