IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/2022_187.html
   My bibliography  Save this paper

Simulation analysis of the impact of blockchain-orchestrated home sales in Sweden on housing price dynamics

Author

Listed:
  • Jaroslaw Morawski
  • Anetta Proskurovska

Abstract

The introduction of blockchain-based solutions to the real estate transaction process has received significant attention in the recent years. However, there is still little clarity as to what the impact of such step might be on the dynamics of the real estate market. We build an agent-based model calibrated on the Swedish market and use it in a simulation analysis to study how redesigning of the house sale process with blockchain can affect housing price dynamics. First, the model looks at the traditional transaction setup using the sequence of interactions between parties as is typical in Sweden today. In the second step, we simulate a streamlined transactional workflow orchestrated by a hypothetical blockchain smart contract and compare its outcome with that of the traditional process. Our main goal is to investigate whether streamlining housing transactions via permissioned blockchain application exacerbates market volatility and generates flash crashes. At this point, the analysis is still ongoing and the results are outstanding.

Suggested Citation

  • Jaroslaw Morawski & Anetta Proskurovska, 2022. "Simulation analysis of the impact of blockchain-orchestrated home sales in Sweden on housing price dynamics," ERES 2022_187, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:2022_187
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/eres-id-eres2022-187
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    blockchain; housing market; Simulation;
    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_187. 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.