IDEAS home Printed from https://ideas.repec.org/p/sek/iefpro/12713389.html
   My bibliography  Save this paper

Development Of The Real Estate Market In The Czech Republic In Connection With The Covid-19 Pandemic

Author

Listed:
  • Eduard Hromada

    (Faculty of Civil Engineering, Czech Technical University in Prague)

Abstract

The paper deals with the analysis of the current situation on the real estate market in the Czech Republic in connection with the COVID-19 pandemic. Selected pricing and technical parameters such as prices of apartments for sale, prices of apartments for rent, technical condition of the apartments and energy performance of the building are analysed. To obtain input data for the analysis was used software EVAL, which the author of the paper has been developing since 2007. The software EVAL collects, analyses and evaluates real estate advertising in the Czech Republic in a monthly period. All real estate advertising is continuously recorded in the software database and is carefully analysed for its credibility. EVAL software provides comprehensive and objective information on the actual development of the real estate market in the Czech Republic. The paper uses basic statistical methods of processing a large data set.

Suggested Citation

  • Eduard Hromada, 2021. "Development Of The Real Estate Market In The Czech Republic In Connection With The Covid-19 Pandemic," Proceedings of Economics and Finance Conferences 12713389, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iefpro:12713389
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/15th-economics-finance-conference-prague/table-of-content/detail?cid=125&iid=014&rid=13389
    File Function: First version, 2021
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nadia Balemi & Roland Füss & Alois Weigand, 2021. "COVID-19’s impact on real estate markets: review and outlook," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(4), pages 495-513, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. KRULICKÝ Tomáš & FILHO Eduardo Aguiar Henrique & HROMADA Eduard & ČERMÁKOVÁ Klára, 2022. "The Effects of Homeownership on Wealth Distribution," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
    2. Adéla Zubíková & Pavel Smolák, 2022. "Macroeconomic impacts of the COVID-19 pandemic in the Czech Republic in the period of 2020-2021," International Journal of Economic Sciences, European Research Center, vol. 11(1), pages 117-145, April.
    3. Tomáš Krulický & Thomas Schmallowsky, 2022. "Tax systems and their differences in use in selected countries, digitalization of a tax system," International Journal of Economic Sciences, European Research Center, vol. 11(1), pages 47-67, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Silvius STANCIU, 2022. "Post COVID-19 Lessons. Could the SARS-CoV-2 Virus be a Progress Factor? A Literature Review," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 36-46.
    2. Víctor Manuel Cuevas Ahumada & Cuauhtémoc Calderón Villarreal, 2023. "Government policies and manufacturing production during the COVID-19 pandemic," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 18(4), pages 1-19, Octubre -.
    3. Choi, Sun-Yong, 2022. "Dynamic volatility spillovers between industries in the US stock market: Evidence from the COVID-19 pandemic and Black Monday," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).

    More about this item

    Keywords

    Real estate market; EVAL software; Real estate prices; Statistical methods; Data mining;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sek:iefpro:12713389. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.