An agent-based model for investigating the impact of distorted supply-demand information on China's resale housing market

被引:10
|
作者
He, Zhou [1 ,2 ]
Dong, Jichang [1 ,2 ]
Yu, Lean [3 ]
机构
[1] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
[2] Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100190, Peoples R China
[3] Beijing Univ Chem Technol, Sch Econ & Management, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
Agent-based modelling; Resale housing market; Distorted information; Broker; LAND-USE; SELLING PRICE; SIMULATION; LOCATION; BEHAVIOR; SEARCH; CHOICE;
D O I
10.1016/j.jocs.2018.01.002
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Trading participators suffer from information disadvantage in China's resale housing market, where brokers are able to distort supply-demand information and thus mislead their clients in price negotiation. In this paper, we propose an agent-based resale model to examine how brokers' distorted market information affects the market performances. Experimental results show that brokers are truly able to influence market trade count, resale price per size, and the benefits and costs of buyers and sellers, We find that no matter what the actual market condition is, assisting sellers is always the dominating policy for rational brokers. We also find that both buyers and sellers are likely to gain more surplus from transactions if they sign an "Exclusive Right To Buy/Sell" agreement with the broker, but the sellers are less bothered by the increased trade time. Coupled with these findings, managerial implications are discussed for China's resale housing market. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 15
页数:15
相关论文
共 50 条
  • [1] Agent-Based Simulation of the Search Behavior in China's Resale Housing Market: Evidence from Beijing
    Zhang, Hong
    Li, Yang
    [J]. JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2014, 17 (01):
  • [2] Regulations on Housing Market and the Housing Prices in China: A Supply-Demand Analysis and its Empirical Test
    Jiang, Qifa
    [J]. 2013 INTERNATIONAL CONFERENCE ON MANAGEMENT (ICM 2013), 2013, : 525 - 532
  • [3] An Agent-Based Model for Market Impact
    Oesch, Christian
    [J]. 2014 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR FINANCIAL ENGINEERING & ECONOMICS (CIFER), 2014, : 17 - 24
  • [4] The Research of Supply-demand Relationship of Energy Efficiency Service Market Based on Principal-agent in China
    Ren, Jiqin
    Sun, Jinying
    [J]. PROCEEDINGS OF 2012 INTERNATIONAL CONFERENCE ON CONSTRUCTION & REAL ESTATE MANAGEMENT, VOLS 1 AND 2, 2012, : 221 - 226
  • [5] Determination of the periodicity and synchronization of anticipative agent based supply-demand model
    Skraba, A.
    Bren, M.
    Kofjac, D.
    [J]. V INTERNATIONAL WORKSHOP ON MATHEMATICAL MODELS AND THEIR APPLICATIONS 2016, 2017, 173
  • [6] An Enhancement of Agent-based Power Supply-Demand Matching by Using ANN-based Forecaster
    Maruf, M. N. I.
    Munoz, L. A. Hurtado
    Nguyen, P. H.
    Ferreira, H. M. Lopes
    Kling, W. L.
    [J]. 2013 4TH IEEE/PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT EUROPE), 2013,
  • [7] Heterogeneous expectations in the housing market: a sugarscape agent-based model
    Park, Daehyeon
    Hong, Jengei
    Ryu, Doojin
    [J]. JOURNAL OF HOUSING AND THE BUILT ENVIRONMENT, 2024, 39 (03) : 1465 - 1489
  • [8] Power supply-demand balance in a Smart Grid: An information sharing model for a market mechanism
    Larsen, Gunn K. H.
    van Foreest, Nicky D.
    Scherpen, Jacquelien M. A.
    [J]. APPLIED MATHEMATICAL MODELLING, 2014, 38 (13) : 3350 - 3360
  • [9] Endogenous rise and collapse of housing price An agent-based model of the housing market
    Ge, Jiaqi
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2017, 62 : 182 - 198
  • [10] A comparison of coal supply-demand in China and in the US based on a network model
    Fang Cui-Cui
    Sun Mei
    Zhang Pei-Pei
    Gao An-Na
    [J]. CHINESE PHYSICS B, 2013, 22 (10)