Two Bargain Game Models of the Second-Hand Housing Commence

  • Rui Wang
  • Deng-Feng Li
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 758)


The aim of this paper is to discuss a bargaining problem between sellers and buyers in the case of the final price of the house for sale in the second-hand house market. Two bargaining models are established for the sellers and buyers in indefinite period and finite period. For the indefinite period, the complete equilibrium solution of the bargaining game between the buyers and sellers is obtained. Hereby, imposing some constraints on the time, the game equilibrium solution on the second stage is obtained. At the same time, a multiple game model is constructed and the commence point is discussed. The result shows that the game between sellers and buyers depends on the ratio of each one’s discount factor. The time and commitment between sellers and buyers increase the sellers’ cost, hence the final price can only be implemented within a certain range, which is related with the proposal cost of sellers, the number of games, and the punishment cost in each round.


The second-hand housing commence Equilibrium Bargaining Game model 



We are grateful to the referees for their helpful and constructive comments, which have significantly improved the presentation of this paper. This work is supported by Key Project of Natural Science Foundation of China (Nos. 71231003) and young teacher education research project of Fujian province (Nos. JAS150641).


  1. 1.
    Stein, J.C.: Prices and trading volume in the housing market: a model with down-payment effects. Q. J. Econ. 110(2), 379–406 (1995)CrossRefGoogle Scholar
  2. 2.
    Black, R.T., Diaz III, J.: The use of information versus asking price in the real property negotiation process. J. Property Res. 13(4), 287–297 (1996)CrossRefGoogle Scholar
  3. 3.
    Krainer, J.: Theory of liquidity in residential real estate markets. J. Urban Econ. 49(1), 32–53 (2001)CrossRefGoogle Scholar
  4. 4.
    Fisher, J., Gatzlaff, D., Geltner, D., Haurin, D.: Controlling for the impact of variable liquidity in commercial real estate price indices. Real Estate Econ. 31(2), 269–303 (2003)CrossRefGoogle Scholar
  5. 5.
    Fisher, J. Geltner, D., Pollakowksi, H.: A quarterly transactions-based index of institutional real estate investment rerformance and movements in supply and demand. In: Presented in the AREUEA Annual Meeting, Boston (2006)Google Scholar
  6. 6.
    Clauretie, T.M., Thistle, P.D.: The effect of time-on-market and location on search costs and anchoring: the case of single-family properties. J. Real Estate Finance Econ. 35(2), 181–196 (2007)CrossRefGoogle Scholar
  7. 7.
    Bokhari, S., Geltner, D.: Loss aversion and anchoring in commercial real estate pricing: empirical evidence and price index theorems. Real Estate Econ. 39(4), 635–670 (2011)CrossRefGoogle Scholar
  8. 8.
    Sun, Hua, Ong, S.E.: Bidding heterogeneity, signaling effect and its theorems on house Seller’s pricing strategy. J. Real Estate Finance Econ. 49, 568–597 (2014)CrossRefGoogle Scholar
  9. 9.
    Yang, J.R., Sun, B.Y.: Development path for policy factors and the real estate market in China-an analysis with game theory on government, developer and customer. J. Finance Econ. 30(4), 130–139 (2004)Google Scholar
  10. 10.
    Huai, J.J., Liu, X.M., Lei, H.M.: Game analysis of non-cooperative bargaining between the local government and the land agent. Oper. Res. Manag. Sci. 17(3), 70–74 (2008)Google Scholar
  11. 11.
    Zhao, J., Yang, L.: Game analysis between real estate agent and the buyers under the conditions of asymmetric information. Bus. Econ. 12, 19–21 (2010)Google Scholar
  12. 12.
    Wang, C.H., Gong, W.F., Fang, Z.G.: The research of bargaining game model between developers and investor of second-hand house. Chin. J. Manag. Sci. 20(11), 242–246 (2012)Google Scholar
  13. 13.
    Lai, C.J., Chen, X.: Complex dynamic analysis for a real-estate oligopoly game model with bounded rationality. J. Syst. Eng. 28(3), 285–296 (2013)Google Scholar

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© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.School of Economics and ManagementFuzhou UniversityFuzhouChina
  2. 2.School of Business ManagementFujian Jiangxia UniversityFuzhouChina

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