The Australian Tax‐Transfer System: Architecture and Outcomes*

Whiteford, Peter

doi:10.1111/j.1475-4932.2010.00634.x

Cited by 87 publications

(55 citation statements)

References 9 publications

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“…Finally, our Australian evidence adds depth to the existing evidence which to date has drawn mainly on UK and German experiences. Australia is characterised by a regulated labour market with high minimum wages (Bray 2013), a strong public health system (Mossialos et al 2016), and a welfare system with low, and essentially flat-rate, entitlement levels that provides universal cash benefits to those most in need (Whiteford 2010), making it a particularly interesting case for studying the effects of job loss on mental health.…”

Section: Previous Researchmentioning

confidence: 99%

Job loss and the mental health of spouses and adolescent children

2017

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Panel data from the Household, Income and Labour Dynamics in Australia Survey are used to examine the impact of involuntary job loss on the mental health of spouses and adolescent children. Estimates from fixed effects models show that the mental health of women (but not men) declines following a spouse's job loss, but only if that job loss results in a sustained period of non-employment or if the couple experienced prior financial hardship or relationship strain. A negative effect of parental job loss on the mental health of adolescent children is also found but is restricted to girls. JEL Classification: I31, J10, J65

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Section: Previous Researchmentioning

confidence: 99%

Job loss and the mental health of spouses and adolescent children

2017

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“…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%

A Journey Home: What Drives How Long People Are Homeless?

et al. 2014

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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

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“…The Australian system of social support is widely recognised as exhibiting a high degree of targeting (Whiteford 2010). This is achieved in part through the extensive reliance on means-testing a range of payments that are made available to recipients.…”

Section: Why This Research Was Conductedmentioning

confidence: 99%

Asset portfolio retirement decisions: the role of the tax and transfer system

Whelan¹,

Atalay²,

Dynan³

2018

AHURI Final Report

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AHURIAHURI is a national independent research network with an expert not-for-profit research management company, AHURI Limited, at its centre.AHURI's mission is to deliver high quality research that influences policy development and practice change to improve the housing and urban environments of all Australians.Using high quality, independent evidence and through active, managed engagement, AHURI works to inform the policies and practices of governments and the housing and urban development industries, and stimulate debate in the broader Australian community.AHURI undertakes evidence-based policy development on a range of priority policy topics that are of interest to our audience groups, including housing and labour markets, urban growth and renewal, planning and infrastructure development, housing supply and affordability, homelessness, economic productivity, and social cohesion and wellbeing. AcknowledgementsThis material was produced with funding from the Australian Government and state and territory governments. AHURI Limited gratefully acknowledges the financial and other support it has received from these governments, without which this work would not have been possible. AHURI Limited also gratefully acknowledges the contributions, both financial and in-kind, of its university research partners who have helped make the completion of this material possible. DisclaimerThe opinions in this report reflect the views of the authors and do not necessarily reflect those of AHURI Limited, its Board, its funding organisations or Inquiry panel members. No responsibility is accepted by AHURI Limited, its Board or funders for the accuracy or omission of any statement, opinion, advice or information in this publication. Lachlan Dynan's contributions were made during his time as an Honours student at the University of Sydney, and not during his subsequent employment at the Reserve Bank of Australia. As such, the views represented here are unrelated to the Reserve Bank of Australia.This report uses unit record data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The HILDA project was initiated and is funded by the Australian Government Department of Social Services (DSS) and is managed by the Melbourne Institute of Applied Economic and Social Research (Melbourne Institute). The findings and views reported in this report, however, are those of the authors and should not be attributed to either DSS or the Melbourne Institute. AHURI journalAHURI Final Report journal series is a refereed series presenting the results of original research to a diverse readership of policy-makers, researchers and practitioners. Peer review statementAn objective assessment of reports published in the AHURI journal series by carefully selected experts in the field ensures that material published is of the highest quality. The AHURI journal series employs a double-blind peer review of the full report, where anonymity is strictly observed between authors and referees. Contents List of tables vii List of figures viiiAc...

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The Australian Tax‐Transfer System: Architecture and Outcomes*

Cited by 87 publications

References 9 publications

Job loss and the mental health of spouses and adolescent children

Job loss and the mental health of spouses and adolescent children

A Journey Home: What Drives How Long People Are Homeless?

Asset portfolio retirement decisions: the role of the tax and transfer system

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