Exploring House Price Dynamics: an Agent-Based Simulation With Behavioral Heterogeneity

Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7301

Title:	Exploring House Price Dynamics: an Agent-Based Simulation With Behavioral Heterogeneity
Authors:	Özbakan, Tolga A. Kale, Serdar Dikmen, İrem
Keywords:	Agent-based modeling Behavioral economics Evolutionary finance House prices
Publisher:	Springer Verlag
Source:	Özbakan, T. A., Kale, S., and Dikmen, İ. (2019). Exploring house price dynamics: An agent-based simulation with behavioral heterogeneity. Computational Economics, 54(2), 783-807. doi:10.1007/s10614-018-9850-5
Abstract:	The objective of this study is to contribute to the understanding of price formations in housing markets through an agent-based simulation that conceptualizes insights from behavioral economics. For this purpose, the study uses a prominent real estate market model as a benchmark and extends it to account for (1) behavioral heterogeneity and (2) dynamic agent interaction. The validation of the model is carried out by using real data from the Turkish housing market. The results show that the introduction of a fitness-based behavior-switching regime with myopic agents improves the extent to which the observed market behavior can be replicated, in comparison to the benchmark model.
URI:	https://doi.org/10.1007/s10614-018-9850-5 https://hdl.handle.net/11147/7301
ISSN:	0927-7099
Appears in Collections:	Architecture / Mimarlık Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection