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Behavioral heterogeneity in the Australian housing market

Wai-Mun Chia, Mengling Li, Huanhuan Zheng

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

We propose a heterogeneous agent model (HAM) of four groups of investors with Markov chain regime-dependent beliefs for the housing market. Within the Markov switching framework, we take into account how heterogeneous investors shift their trading behaviour in response to changes in housing market conditions. The model is estimated and compared with the benchmark rational expectation models using the Australian housing market data from 1982Q1 to 2013Q2. We find evidence of within- and between-group heterogeneity in the Australian housing market. We show that HAM with Markov switching beliefs provides a better in-sample estimation efficiency and outperforms the conventional rational expectation models in terms of out-of-sample prediction. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
Original languageEnglish
Pages (from-to)872-885
JournalApplied Economics
Volume49
Issue number9
DOIs
Publication statusPublished - 19 Feb 2017
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was supported by the Nanyang Technological University Tier 1 Research Project [RG180/14] and the Fundamental Research Funds for the Central Universities [grant number 20720161073].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • behavioural heterogeneity
  • heterogeneous agent model
  • housing market
  • Regime switching

Policy Impact

  • Cited in Policy Documents

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