Introducing ‘Journeys Home’

Wooden, Mark; Bevitt, Andrew; Chigavazira, Abraham; Greer, Nancy; Johnson, Guy; Killackey, Eóin; Moschion, Julie; Scutella, Rosanna; Tseng, Yi‐Ping; Watson, Nicole

doi:10.1111/j.1467-8462.2012.00690.x

Cited by 47 publications

(35 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…8 In particular, the Centrelink data include the administrative records for the universe of Australians receiving any form of social assistance since July 1, 2002. See Wooden et al (2012) for more details. 9 The combination of these two categories give a population of homeless people that roughly accords with the cultural definition of homelessness described earlier.…”

Section: The Institutional Contextmentioning

confidence: 99%

“…Australian policymakers and researchers have largely coalesced around a cultural definition of homelessness in which shared community standards set the bar for the minimum accommodation that people should expect to achieve (Chamberlain 1999;Chamberlain & Mackenzie 1992; Australia's welfare system is characterized by the universal provision of cash benefits to those most in need, with low, and essentially flat-rate, entitlement levels (Whiteford 2010 Because the vast majority of individuals captured in the administrative data are not at any real risk of homelessness, it is necessary to identify a more targeted population to be sampled (see Wooden et al 2012). Fortunately, since 2010 Centrelink staff have been using a set of protocols to identify -and flag -customers that they determine to be either 'homeless' or 'at risk of homelessness'.…”

Section: The Institutional Contextmentioning

confidence: 99%

See 1 more Smart Citation

A journey home: What drives how long people are homeless?

Cobb‐Clark

Herault

Scutella

et al. 2016

Journal of Urban Economics

Self Cite

View full text Add to dashboard Cite

This paper uses survival analysis to model exits over time from two alternative notions of homelessness. We are unique in being able to account for time-invariant, unobserved heterogeneity. We find that duration dependence has an inverted U-shape with exit rates initially increasing (indicating positive duration dependence) and then falling. Like previous researchers, we find results consistent with negative duration dependence in models which ignore unobserved heterogeneity. Exit rates out of homelessness fall with age and with the education level of mothers. Women are more likely than men to exit homelessness when it is broadly conceived, but appear to be less likely to exit when it is narrowly defined. Finally, higher paternal education and exemptions from welfare-related activity requirements due to either mental or physical health conditions are all associated with higher exit rates.JEL classification: I3, R2, C4

show abstract

Section: The Institutional Contextmentioning

confidence: 99%

Section: The Institutional Contextmentioning

confidence: 99%

A journey home: What drives how long people are homeless?

Cobb‐Clark

Herault

Scutella

et al. 2016

Journal of Urban Economics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Because the JH sample includes both types of people, it is exceptionally valuable for examining the causes and consequences of housing insecurity. Interviews began in 2011 and continued in six-month intervals with each wave asking people about their housing, economic, health, and other circumstances, including their experiences with violence (see Wooden et al, 2012). In the initial survey wave, 1,682 people participated, which represented a response rate of 62 percent of the in-scope sample.…”

Section: Analysis Data From the Journeys Home Surveymentioning

confidence: 99%

A Longitudinal Analysis of Violence and Housing Insecurity

Diette

Ribar

2015

SSRN Journal

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E S A Longitudinal Analysis of Violence and Housing Insecurity ABSTRACT A Longitudinal Analysis of Violence and Housing Insecurity *Violence and housing insecurity are horrible events that may be intertwined, with violence possibly forcing victims to abandon their accommodations and housing insecurity depriving people of the safety of a home or placing them in compromised circumstances. This study uses national, prospective, longitudinal data from the Journeys Home Survey to examine how violence, housing insecurity, and other characteristics in one period affect disadvantaged Australian men's and women's chances of experiencing violence and housing insecurity in subsequent periods. The study is one of the first to investigate these relationships prospectively and unusual in considering how violence among adult men contributes to their housing insecurity. We estimate dynamic multivariate models that control for observed and time-invariant unobserved characteristics and find that men's chances of being housing secure without experiencing violence are 24-45 percent lower and women's chances are 12-20 percent lower if they experienced housing insecurity, violence or both in the previous period. Heavy drinking, marijuana use, psychological distress, and a history of childhood abuse and neglect also increase the risks of violence and housing insecurity for both genders, while the presence of children reduces these risks. Women who are bisexual or lesbian and women with homeless friends also face elevated risks of housing insecurity, while men's sexual orientation and friend networks seem less relevant.JEL Classification: J1, R2

show abstract

“…Shinn et al, 1998;Wooden et al, 2012). Individual factors that have been correlated with risk of becoming and staying homeless include: gender (males are more likely to become and remain homeless longer than women); work history and current unemployment; level of education; substance use, mental illness, physical illness, and disabilities (Anderson & Christian, 2003;Cobb-Clark, Herault, Scutella, & Tseng, 2016;Johnson, Gronda, & Coutts, 2008;Neil & Fopp, 1992;Orwin et al, 2005;Piliavin, Sosin, Westerfelt, & Matsueda, 1993).…”

Section: Individual Factors Associated With Homelessness Studies Examentioning

confidence: 99%

“…If interested, a more in-depth explanation of the movements in and out of homelessness and risk factors within an Australian context has been reviewed elsewhere (e.g. Bevitt et al, 2015;Wooden et al, 2012).…”

Section: Individual Factors Associated With Homelessness Studies Examentioning

confidence: 99%

Transitions through homelessness: the impact of psychosocial factors on well-being and outcomes in a homeless sample

Walter¹

View full text Add to dashboard Cite

Homelessness is a complex social issue that is of increasing concern to most developed nations.Homelessness is more than not having a house; it is a form of social exclusion and carries significant physical, psychological, and social challenges. The broad aim of the current thesis was to investigate how the psychological and social aspects of the homeless experience can influence outcomes, such as well-being. In particular, the research focuses on processes related to social categories, social identities, and social support of people, as people transition through homeless accommodation services.The first empirical chapters (Chapter 4 and 5) focus on the impact of self-categorization as homeless. Study 1 (Chapter 4) was a qualitative and quantitative cross-sectional study with 119 residents of homeless accommodation services in South-East Queensland. Results demonstrated that while the majority of participants accepted the homeless label (55%), a large portion of residents (31%) rejected the homeless label, or were ambivalent (14%). Respondents who rejected the homeless label reported greater personal well-being and lower negative mood symptoms than participants who accepted the label. Study 2 (Chapter 5) explored this further using an experimental paradigm among 80 residents of a homeless service. Participants who were required to selfcategorize as homeless at the beginning of the questionnaire had significantly lower future life aspirations and perceived competency than participants who did not. Further, future life aspirations and perceived competency both mediated the relationship between self-categorization and wellbeing.Studies 3 and 4 (Chapters 6 and 7) focus on social identity processes for people transitioning through homelessness. Study 3 assessed how multiple group memberships and service identification related to well-being and positive housing outcomes among 76 participants while they were residing in a homeless accommodation service and again 2 -4 weeks after leaving the service (or three months later if participants had not left the service). The results found that multiple group memberships and service identification independently predicted well-being at Time 2, via social support. Both social identity processes also indirectly predicted housing outcomes via social support. Study 4 built on this research by exploring the antecedents and outcomes that are related to service identification among 296 residents across 19 services. Characteristics of the service delivery model and perceptions of discrimination predicted participants' identification with staff. Further, identification with staff predicted service engagement 6 months later and identification with residents predicted joining new groups 6 months later.The final study (Chapter 8) examined how one of these social processes, namely the relationship between social support and well-being, related to an "individual" trait -emotion iii regulation. Results from a one-year longitudinal study, conducted over three time-points, supported a bi...

show abstract

Introducing ‘Journeys Home’

Cited by 47 publications

References 4 publications

A journey home: What drives how long people are homeless?

A journey home: What drives how long people are homeless?

A Longitudinal Analysis of Violence and Housing Insecurity

Transitions through homelessness: the impact of psychosocial factors on well-being and outcomes in a homeless sample

Contact Info

Product

Resources

About