Measuring the influence of space and time effects on time on the market.
This paper is concerned with spatial effects of time on the market for residential property and time varying relationships using a dataset of properties from the Adelaide metropolitan area, Australia, during the period 2002–2011. The analysis firstly considers the spatial dependence in time on the m...
| Publicado en: | Urban Studies (Sage Publications, Ltd.) Vol. 53; no. 13; pp. 2867 - 2885 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Sage Publications, Ltd.
Oct2016
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=117936394&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 117936394 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00420980 54XY jtl: Urban Studies (Sage Publications, Ltd.) issn: 00420980 maglogo: Y pubinfo: dt: Oct2016 vid: 53 iid: 13 pid: 2171 pub: Sage Publications, Ltd. artinfo: ui: 117936394 10.1177/0042098015596923 ppf: 2867 ppct: 18 formats: tig: atl: Measuring the influence of space and time effects on time on the market. aug: au: McGreal, Stanley Taltavull de La Paz, Paloma Kupke, Valerie Rossini, Peter Kershaw, Paul affil: University of Ulster, UK University of Alicante, Spain University of South Australia, Australia su: Metropolitan areas Business cycles Spacetime Home prices Spatial analysis (Statistics) Liquidity (Economics) sug: subj: Metropolitan areas Business cycles Central credit unions Financial Transactions Processing, Reserve, and Clearinghouse Activities Spacetime Home prices Spatial analysis (Statistics) Liquidity (Economics) keyword: Adelaide metropolitan area house prices space-time models spatial analysis time on the market Adelaide metropolitan area house prices space-time models spatial analysis time on the market ab: This paper is concerned with spatial effects of time on the market for residential property and time varying relationships using a dataset of properties from the Adelaide metropolitan area, Australia, during the period 2002–2011. The analysis firstly considers the spatial dependence in time on the market and secondly extends the analysis to a space-time model using 2SLS regression. The findings demonstrate the complexity in spatial analysis with results indicating a random distribution of time on the market in 86% of observations a pattern that is consistent over time. Spatial autocorrelation is shown to increase time on the market in the subject property while spatial error decreases time on the market in the subject property suggesting a high level of market transparency and improved liquidity. The compensating or nullifying effects of both types of spatial association is shown to contribute to the random distribution observed in time on the market. A strong explanatory capacity of the business cycle suggests that economic drivers are leading time on the market rather than prices. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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