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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. [ABSTRACT FROM AUTHOR]

This paper analyses the margin between the Cash Rate Target and LIBOR, and its relationship with house price variation in Australia. The research spans 24 years utilising monthly data to analyse the relationship between Australian house price and LIBOR/CRT spreads. Data are drawn from several sources before the time series is sub-divided into splines forming different stages of the housing market cycle. Models are developed based upon differencing the data and employing ADF tests for stationarity and examination via an Autoregressive Distributed Lag approach and Error Correction Model based data series. Results show there are various macroeconomic, financial and lending short-run dynamics which impact on house prices. Cointegration is also evident, which shows the LIBOR rate to comprise both a shot-run and long-run relationship with house prices. The margin between the CRT and LIBOR is less significant and is only observed in the short-run. The various approaches clearly exhibit the dynamism inherent between the wider macroeconomic and financial environment, which serves to highlight that different drivers affect the housing market at differing magnitudes and at different times. Nonetheless, both the short-run and long-run findings show GDP and LIBOR to be proponents for understanding the sensitivity of house prices in Australia. [ABSTRACT FROM AUTHOR]

This paper begins by identifying the growth in female-headed households in Australia. Despite this increase, it is argued that females still lag males in terms of home ownership rates (HORs) with women in Australia facing similar ownership challenges as those experienced in the UK and the USA. In seeking to establish any dynamic change, the study analyses female home ownership rates in Australia for two points in time, 1998 and 2008. Logit models are used to predict HORs. The results indicate that factors such as household type, income and source of income have an impact on rates of ownership. The paper concludes that female-headed households in Australia show an increasing propensity to purchase which match, or even exceed, those of male-headed households. [ABSTRACT FROM PUBLISHER]