Factors Associated with the recovery of housing prices in Hong Kong

Ge, J

Factors Associated with the recovery of housing prices in Hong Kong

Ge, J

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Publisher:: PRRES, The University of Auckland
Publication Type:: Conference Proceeding
Citation:: The 12th Pacific Rim Real Estate Society Conference Programme, 2006, 1 pp. 1 - 15
Issue Date:: 2006-01

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Field	Value	Language
dc.contributor.author	Ge, J https://orcid.org/0000-0002-2252-7829	en_US
dc.contributor.editor	Bob Hargreaves	en_US
dc.date	2006-01-22	en_US
dc.date.issued	2006-01	en_US
dc.identifier.citation	The 12th Pacific Rim Real Estate Society Conference Programme, 2006, 1 pp. 1 - 15	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11252
dc.description.abstract	The paper starts by reviewing literature on housing prices including both price determinants and research methodology. Data published by the Hong Kong Government is used for the study. The housing price variables are grouped together as macro economic factors, demographic factors, housing related factors and housing supply factors. The 2-state least Square (2SLS) method of regression analysis is used in order to reduce the bi-direction effects between dependent and independent variables. Results show that economic conditions are the most important external influencers of housing prices. The model developed can be used to predict the trend of housing prices.	en_US
dc.publisher	PRRES, The University of Auckland	en_US
dc.relation.ispartof	The 12th Pacific Rim Real Estate Society Conference Programme	en_US
dc.relation.ispartof	Pacific Rim Real Estate Conference	en_US
dc.title	Factors Associated with the recovery of housing prices in Hong Kong	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.location	Auckland, New Zealand	en_US
utslib.location.activity	Auckland, New Zealand	en_US
utslib.for	1202 Building	en_US
dc.location.activity	Auckland, New Zealand	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Auckland, New Zealand	en_US
pubs.start-date	2006-01-22	en_US
pubs.volume	1	en_US

Abstract:

The paper starts by reviewing literature on housing prices including both price determinants and research methodology. Data published by the Hong Kong Government is used for the study. The housing price variables are grouped together as macro economic factors, demographic factors, housing related factors and housing supply factors. The 2-state least Square (2SLS) method of regression analysis is used in order to reduce the bi-direction effects between dependent and independent variables. Results show that economic conditions are the most important external influencers of housing prices. The model developed can be used to predict the trend of housing prices.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/11252