Modeling Housing Market Dynamics Using a Multi-agent Simulation of Participants’ Cognitive Behavior

Author(s):  
Maryam Esmaeili ◽  
Alberto Vancheri ◽  
Paolo Giordano
2000 ◽  
Vol 03 (01n04) ◽  
pp. 323-334 ◽  
Author(s):  
Marco A. Janssen ◽  
Wander Jager

Markets can show different types of dynamics, ranging from stable markets dominated by one or a few products, to fluctuating markets where products are frequently being replaced by new versions. This paper explores the dynamics of markets from a psychological perspective using a multi-agent simulation model. The behavioural rules of the artificial consumers, the consumats, are based on a conceptual meta-theory from psychology. The artificial consumers have to choose each period between different products. Products remain on the market for as long as their market share exceeds a minimum level. If not, it will be replaced by a new product. Simulation experiments are being performed with a population of consumats having different preferences. Results show that the dominating type of cognitive (choice) process has large consequences for the resulting market dynamics. Moreover, the size of the social network affects the market dynamics too.


Author(s):  
Noemi Schmitt ◽  
Frank Westerhoff

AbstractWe propose a novel housing market model to explore the effectiveness of rent control. Our model reveals that the expectation formation and learning behavior of boundedly rational homebuyers, switching between extrapolative and regressive expectation rules subject to their past forecasting accuracy, may create endogenous housing market dynamics. We show that policymakers may use rent control to reduce the rent level, although such policies may have undesirable effects on the house price and the housing stock. However, we are also able to prove that well-designed rent control may help policymakers to stabilize housing market dynamics, even without creating housing market distortions.


2021 ◽  
Vol 101 ◽  
pp. 145-161
Author(s):  
Brian Yueshuai He ◽  
Jinkai Zhou ◽  
Ziyi Ma ◽  
Ding Wang ◽  
Di Sha ◽  
...  

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