IDEAS home Printed from https://ideas.repec.org/p/gat/wpaper/0908.html

An Agent-Based Simulation of Rental Housing Markets

Author

Listed:
  • John Mc Breen

    (University of Lyon, Lyon, F-69003, France; CNRS, LET, UMR 5593, Lyon, F-69363 France, ENS-LYON, Laboratoire de Physique, UMR 5672, Lyon, F-69007, France, Institut rhônalpin des systèmes complexes, IXXI, Lyon, F-69007, France)

  • Florence Goffette-Nagot

    (University of Lyon, Lyon, F-69003, France; CNRS, UMR 5824, GATE, Ecully, F-69130, France; ENS LSH, Lyon, F-69007, France)

  • Pablo Jensen

    (University of Lyon, Lyon, F-69003, France; CNRS, LET, UMR 5593, Lyon, F-69363 France, ENS-LYON, Laboratoire de Physique, UMR 5672, Lyon, F-69007, France, Institut rhônalpin des systèmes complexes, IXXI, Lyon, F-69007, France)

Abstract

We simulate a closed rental housing market with search and matching frictions, in which both landlord and tenant agents are imperfectly informed. Homogeneous landlords set rents to maximise revenue, using information on the market to estimate the relationship between posted rent and time-on-the-market (TOM). Tenants, heterogeneous in income, engage in undirected search accepting residences based on their idiosyncratic tastes for housing and a disagreement point derived from information on the distribution of offers. The steady state to which the simulation evolves shows price dispersion, nonzero search times and vacancies. The main results concern the effects of increasing information on either side of the market. When tenants see a greater percentage of the distribution of offers, tenants learn to refuse high rents and so the population rises and tenants' utilities rise as does overall welfare. Conversely, when landlords have less information, their utility can rise as over estimations in best posting rent move the market to higher rents.

Suggested Citation

  • John Mc Breen & Florence Goffette-Nagot & Pablo Jensen, 2009. "An Agent-Based Simulation of Rental Housing Markets," Working Papers 0908, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    • Handle: RePEc:gat:wpaper:0908
    as

    Download full text from publisher

    File URL: ftp://ftp.gate.cnrs.fr/RePEc/2009/0908.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Demetris Demetriou, 2017. "A spatially based artificial neural network mass valuation model for land consolidation," Environment and Planning B, , vol. 44(5), pages 864-883, September.
    2. John Mc Breen & Florence Goffette-Nagot & Pablo Jensen, 2011. "Information and Search on the Housing Market: An Agent-based Model," ERSA conference papers ersa11p1395, European Regional Science Association.
    3. Mark Merante & Keren Mertens Horn, 2016. "Is Home Sharing Driving up Rents? Evidence from Airbnb in Boston," Working Papers 2016_03, University of Massachusetts Boston, Economics Department.
    4. Horn, Keren & Merante, Mark, 2017. "Is home sharing driving up rents? Evidence from Airbnb in Boston," Journal of Housing Economics, Elsevier, vol. 38(C), pages 14-24.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

    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:gat:wpaper:0908. 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: Nelly Wirth The email address of this maintainer does not seem to be valid anymore. Please ask Nelly Wirth to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/gateefr.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.