IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/2022_132.html
   My bibliography  Save this paper

The COVID-19 Pandemic and Housing Demand Change

Author

Listed:
  • Kwan Ok Lee

Abstract

The COVID-19 pandemic has influenced household housing demand especially with the dramatic increase in working-from-home (WFH) along with reduced mobility because of the restrictions and infection concerns. We provide a comprehensive understanding of changes in housing demand in Singapore where WFH became widespread and many restrictions including the lockdown were implemented after COVID-19. First, a word cloud analysis of the web-scraped data from PropertyGuru, the largest online property listing company in Singapore, suggests a significant change in keywords for housing advertisement. While words related with accessibility or location appeared significantly less in listings, the space and view of housing units were highlighted with words such as the study, unblock view, and renovation. Next, we investigate how the keywords that became popular after the COVID-19 have affected asking housing prices and transaction probabilities of online listings. Finally, we match the keyword information with actual transaction database and analyze whether features reflected in these keywords are indeed associated with changes in the price premium and transaction volume. Our findings capture detailed short-term shifts in housing demand reflected in real time at the online platform and provide important implications to the housing industry and policymakers.

Suggested Citation

  • Kwan Ok Lee, 2022. "The COVID-19 Pandemic and Housing Demand Change," ERES 2022_132, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:2022_132
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/eres-id-eres2022-132
    Download Restriction: no

    File URL: https://architexturez.net/system/files/P_20220215001159_4814.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    COVID-19; Housing demand; Online Listing; Word Cloud;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:arz:wpaper:2022_132. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.html .

    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.