IDEAS home Printed from https://ideas.repec.org/a/spr/jeicoo/v18y2023i4d10.1007_s11403-023-00391-y.html
   My bibliography  Save this article

Home sweet home, how money laundering pollutes the real estate market: an agent based model

Author

Listed:
  • Raffaella Barone

    (University of Salento
    Bocconi University)

Abstract

The aim of the paper is to analyse the role of the real estate market as a dirty money laundering channel for organized crime in Italy. We contribute to the economic literature on house price determinants, providing for the first time an agent-based model to evaluate the impact of money laundering on the amount and the prices of transactions in the Italian residential real estate market. To this purpose, we collected and processed data from the Real Estate Market Observatory of the Italian Revenue Agency, the Italian National Statistical Institute and the European Central Bank for the period 2006–2020. Then, we enriched the data set including for each province if it is a tourist destination, a university site and the corresponding crime rate. Using AgentPy, we built the model that consists of one agent—that can be a buyer (honest or criminal) and a seller—, banks, the real estate properties, and the environment. Buyers and sellers interact randomly according to the Italian market real estate purchase frequencies. We show a reverse relationship between the crime rate index and the percentage of criminal transaction out of the total. Moreover, the average price is higher for criminal transactions with a growing trend as the number of criminals increases.

Suggested Citation

  • Raffaella Barone, 2023. "Home sweet home, how money laundering pollutes the real estate market: an agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(4), pages 779-806, October.
  • Handle: RePEc:spr:jeicoo:v:18:y:2023:i:4:d:10.1007_s11403-023-00391-y
    DOI: 10.1007/s11403-023-00391-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11403-023-00391-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11403-023-00391-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Real estate properties; Agent based model; Organized crime; Interest; Money;
    All these keywords.

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • K00 - Law and Economics - - General - - - General (including Data Sources and Description)
    • K4 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior
    • K25 - Law and Economics - - Regulation and Business Law - - - Real Estate Law
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    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:spr:jeicoo:v:18:y:2023:i:4:d:10.1007_s11403-023-00391-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.