IDEAS home Printed from https://ideas.repec.org/p/sek/ibmpro/12713384.html
   My bibliography  Save this paper

Regression analysis of selected technical and economic parameters of the residential market in the Czech Republic

Author

Listed:
  • Eduard Hromada

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

Abstract

Currently, there is an increasing interest in the real estate market and many small and large investors regularly monitor real estate prices and price trends at the national and regional level. The covid-19 pandemic has caused a change in long-term trends in the real estate market. The paper deals with a regression analysis of selected technical and economic parameters that affect the real estate market in the Czech Republic. Specifically, these parameters are: the relationship between the average mortgage rate and the price of an apartment for sale, the relationship between the average mortgage rate and the number of properties offered for sale and the influence of the existence of a terrace, balcony or loggia on the unit price of the apartment. The results of the work are based on the EVAL software, which collects data on real estate advertising in the Czech Republic.

Suggested Citation

  • Eduard Hromada, 2021. "Regression analysis of selected technical and economic parameters of the residential market in the Czech Republic," Proceedings of Business and Management Conferences 12713384, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:ibmpro:12713384
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/12th-business-management-conference-prague/table-of-content/detail?cid=127&iid=004&rid=13384
    File Function: First version, 2021
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Yanan & Tang, Yugang, 2021. "Epidemic shocks and housing price responses: Evidence from China's urban residential communities," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    Full references (including those not matched with items on IDEAS)

    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. Batalha, Mafalda & Gonçalves, Duarte & Peralta, Susana & Pereira dos Santos, João, 2022. "The virus that devastated tourism: The impact of covid-19 on the housing market," Regional Science and Urban Economics, Elsevier, vol. 95(C).
    2. Walter D'Lima & Luis Arturo Lopez & Archana Pradhan, 2022. "COVID‐19 and housing market effects: Evidence from U.S. shutdown orders," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(2), pages 303-339, June.
    3. Shian Zeng & Chengdong Yi, 2022. "Impact of the COVID-19 pandemic on the housing market at the epicenter of the outbreak in China," SN Business & Economics, Springer, vol. 2(6), pages 1-20, June.
    4. Huang, Naqun & Pang, Jindong & Yang, Yanmin, 2023. "JUE Insight: COVID-19 and household preference for urban density in China," Journal of Urban Economics, Elsevier, vol. 133(C).
    5. van Vuuren, Aico, 2023. "Is there a diminishing willingness to pay for consumption amenities as a result of the Covid-19 pandemic?," Regional Science and Urban Economics, Elsevier, vol. 98(C).

    More about this item

    Keywords

    Real estate market; EVAL software; regression analysis;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    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:ibmpro:12713384. 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.