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The article discuses the various risks for housing stress. It is reported that the biggest predictor of risk of entering housing stress is age, with 18 to 24 year olds being 214 percent more likely to enter housing stress then those aged more then 65 years. It is further reported that employment status is the next largest predictor, with unemployed people being 144 percent more likely to enter housing stress than fully employed people.

The article discusses the regulation of residential tenancies and impacts on investment. Topics include Tax policy and financial regulation strongly shapes the private rental sector (PRS) by encouraging forms of investment and discouraging others. Residential tenancies law; and residential tenancies law that triggers concerns about disinvestment with center housing rights and reject the disinvestment law reform.

The dynamics of household behavior regarding home and occupation relocation is a critical consideration in multiple fields, including transport planning, as it influences the majority of daily trips and urban congestion patterns. While a causal dependence between home and occupation relocation has been widely investigated, the simultaneous dependence of relocation durations has not. Here, households' residential and workplace relocation durations are simultaneously modeled using Bayesian, copula-based, multivariate, parametric survival analysis. Three copula formulations are compared. Nested and independent model structures are proposed for modeling occupation durations in households with more than one employed member. A comprehensive, retrospectively revealed, life-course dataset with a focus on the homeownership, occupation, education, and vehicle ownership statuses of households was collected from Chicago, USA, and Sydney, Australia. The impacts of sociodemographic, home, and occupational attributes were mostly consistent in both cities, demonstrating similarities in the behaviors of their metropolitan residents. The results reveal that, contrary to expectations, home and workplace relocation durations are not necessarily strongly correlated. This result prompts many valuable research directions in this field. • A simultaneous model of residential and workplace relocation durations, comparison of multiple copula dependence structures. • Nested and multiplication job duration dependence structures used to model households with more than one employed member. • Survival models considering dynamic variables including economic and demographic, housing, intra-household decision-making. • A Bayesian method is utilized for the parameter estimation. • A case study on the data of two cities in Australia and the US (Sydney and Chicago cities). [ABSTRACT FROM AUTHOR]