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

Authored by Zhou He, Jichang Dong, Lean Yu

Date Published: 2018

DOI: 10.1016/j.jocs.2018.01.002

Sponsors: Chinese National Natural Science Foundation

Platforms: Repast

Model Documentation: ODD Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

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.

Tags

Agent-based modelling Simulation behavior Negotiation Land-use systems Search Location Choice Resale housing market Distorted information Broker Real-estate transactions Selling price