IDEAS home Printed from
   My bibliography  Save this paper

A Cellular Automata Simulation of the 1990s Russian Housing Privatization Decision


  • Maria Plotnikova

    () (Department of Economics, University of Reading)

  • Chokri Dridi

    () (Department of Rural Economy, University of Alberta)


The study uses a computational approach to study the phenomenon of housing privatization in Russia in the 1990s. As part of the housing reform flats in multi-family buildings were offered to their residents free of payment. Nevertheless rapid mass housing privatization did not take place. While this outcome admits a number of explanations this analysis emphasizes the fact that the environment in which the decision-making households were operating had a high degree of uncertainty and imposed a high information-processing requirement on the decision-makers. Using the bounded rationality paradigm, the study builds a case for a cellular automata simulation of household decision-making in the context of housing privatization reforms in Russia in the 1990s. Cellular automata is then used to simulate a household’s decision to become the owner of its dwelling.

Suggested Citation

  • Maria Plotnikova & Chokri Dridi, 2010. "A Cellular Automata Simulation of the 1990s Russian Housing Privatization Decision," Economics & Management Discussion Papers em-dp2010-05, Henley Business School, Reading University.
  • Handle: RePEc:rdg:emxxdp:em-dp2010-05

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. R White & G Engelen, 1993. "Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns," Environment and Planning A, Pion Ltd, London, vol. 25(8), pages 1175-1199, August.
    2. Schelling, Thomas C, 1969. "Models of Segregation," American Economic Review, American Economic Association, vol. 59(2), pages 488-493, May.
    Full references (including those not matched with items on IDEAS)

    More about this item


    cellular automata; complex systems; housing reform; Russia; simulation;

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • P21 - Economic Systems - - Socialist Systems and Transition Economies - - - Planning, Coordination, and Reform
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:rdg:emxxdp:em-dp2010-05. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marie Pearson). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.