Endogenous price bubbles in a multi-agent system of the housing market

Economic history shows a large number of boom-bust cycles, with the U.S. real estate market as one of the latest examples. Classical economic models have not been able to provide a full explanation for this type of market dynamics. Therefore, we analyze home prices in the U.S. using an alternativ...

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Main Authors: Kouwenberg, R, Zwinkels, R. C.
Other Authors: Mahidol University. College of Management
Format: Article
Language:English
Published: 2016
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/3107
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spelling th-mahidol.31072023-04-12T15:36:49Z Endogenous price bubbles in a multi-agent system of the housing market Kouwenberg, R Zwinkels, R. C. Mahidol University. College of Management Endogenous Price bubbles Multi-agent system Housing market Open Access article Economic history shows a large number of boom-bust cycles, with the U.S. real estate market as one of the latest examples. Classical economic models have not been able to provide a full explanation for this type of market dynamics. Therefore, we analyze home prices in the U.S. using an alternative approach, a multi-agent complex system. Instead of the classical assumptions of agent rationality and market efficiency, agents in the model are heterogeneous, adaptive, and boundedly rational. We estimate the multi-agent system with historical house prices for the U.S. market. The model fits the data well and a deterministic version of the model can endogenously produce boom-and-bust cycles on the basis of the estimated coefficients. This implies that trading between agents themselves can create major price swings in absence of fundamental news. 2016-02-26T06:42:52Z 2017-11-10T02:54:08Z 2016-02-26T06:42:52Z 2017-11-10T02:54:08Z 2016-02-26 2015 Research Article Plos One. Vol.10, No.6 (2015), e0129070 10.1371/journal.pone.0129070 https://repository.li.mahidol.ac.th/handle/123456789/3107 eng Mahidol University PLOS ONE application/pdf
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
language English
topic Endogenous
Price bubbles
Multi-agent system
Housing market
Open Access article
spellingShingle Endogenous
Price bubbles
Multi-agent system
Housing market
Open Access article
Kouwenberg, R
Zwinkels, R. C.
Endogenous price bubbles in a multi-agent system of the housing market
description Economic history shows a large number of boom-bust cycles, with the U.S. real estate market as one of the latest examples. Classical economic models have not been able to provide a full explanation for this type of market dynamics. Therefore, we analyze home prices in the U.S. using an alternative approach, a multi-agent complex system. Instead of the classical assumptions of agent rationality and market efficiency, agents in the model are heterogeneous, adaptive, and boundedly rational. We estimate the multi-agent system with historical house prices for the U.S. market. The model fits the data well and a deterministic version of the model can endogenously produce boom-and-bust cycles on the basis of the estimated coefficients. This implies that trading between agents themselves can create major price swings in absence of fundamental news.
author2 Mahidol University. College of Management
author_facet Mahidol University. College of Management
Kouwenberg, R
Zwinkels, R. C.
format Article
author Kouwenberg, R
Zwinkels, R. C.
author_sort Kouwenberg, R
title Endogenous price bubbles in a multi-agent system of the housing market
title_short Endogenous price bubbles in a multi-agent system of the housing market
title_full Endogenous price bubbles in a multi-agent system of the housing market
title_fullStr Endogenous price bubbles in a multi-agent system of the housing market
title_full_unstemmed Endogenous price bubbles in a multi-agent system of the housing market
title_sort endogenous price bubbles in a multi-agent system of the housing market
publishDate 2016
url https://repository.li.mahidol.ac.th/handle/123456789/3107
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