Rebecca Cassells

Rich or Poor in Retirement? A Small Area Analysis of Australian Private Superannuation Savings in 2006 Using Spatial Microsimulation

Vidyattama Y., Cassells R., Harding A. and McNamara J. Rich or poor in retirement? A small area analysis of Australian private superannuation savings in 2006 using spatial microsimulation, Regional Studies. Substantial differences in retirement savings exist among Australians. Little is known, however, about how these patterns play out at a small area level, partly due to an absence of available data about wealth holdings at a small area level. This paper uses spatial microsimulation techniques to produce estimates of superannuation savings for Australian men and women who in 2006 were aged between forty-five and sixty years at a Statistical Local Area (SLA) level. The findings show substantial differences between Australias small areas in terms of both superannuation ownership and median balances. Vidyattama Y., Cassells R., Harding A. and McNamara J. 退休的贫与富？利用空间微观模拟对 2006 年澳大利亚退休金储蓄进行的小型分析，区域研究。退休储蓄在澳大利亚存在实质性的地域差异。然而，上述模式如何呈现于一个较小的地域层面我们还不甚了解。本文利用空间微观模拟技术对澳大利亚2006年在地方统计层面年龄介于45-60岁间男女的退休金储蓄进行了评估。结果表明，就所有权和平均余额而言，澳大利亚小块地域之间也存在实质性差异。 空间微观模拟u2003空间分布u2003退休金储蓄u2003性别 Vidyattama Y., Cassells R., Harding A. et McNamara J. Être riche ou être pauvre au moment de la retraite? Une analyse à partir des données régionales sur les économies privées pour la retraite des Australiens en 2006 employant une microsimulation géographique, Regional Studies. Il existe dimportantes différences des économies pour la retraite des Australiens. Cependant, on ne sait pas beaucoup quant au déroulement de ces tendances sur le plan régional, en partie à cause des données non-disponibles sur la richesse à léchelle régionale. Cet article emploie des techniques de microsimulation géographique afin de produire des estimations des économies pour la retraite des hommes et des femmes australiens âgés en 2006 de quarante-cinq jusquà soixante ans au niveau des zones statistiques locales (SLA). Les résultats laissent voir dimportantes différences interrégionales en Australie quant aux retraites complémentaires et aux soldes médians. Microsimulation géographiqueu2003Distribution géographiqueu2003Économies pour la retraiteu2003Genre Vidyattama Y., Cassells R., Harding A. und McNamara J. Reich oder arm im Ruhestand? Eine Analyse der privaten Altersersparnisse in Australien im Jahr 2006 auf der Ebene kleiner Gebiete mit Hilfe von räumlicher Mikrosimulation, Regional Studies. Bei den Ersparnissen für den Ruhestand bestehen unter Australiern erhebliche Unterschiede. Allerdings ist wenig darüber bekannt, wie diese Muster auf der Ebene kleiner Gebiete ausfallen, was unter anderem auf einen Mangel an verfügbaren Daten über Vermögensguthaben auf der Ebene kleiner Gebiete zurückzuführen ist. In diesem Beitrag werden mit Hilfe von räumlichen Mikrosimulationstechniken die Altersersparnisse von australischen Männern und Frauen, die im Jahr 2006 zwischen 46 und 60 Jahre alt waren, auf der Ebene eines statistischen Lokalgebiets (SLA) geschätzt. Aus den Ergebnissen geht hervor, dass zwischen den kleinen Gebieten Australiens hinsichtlich des Eigentums und medianen Guthabens von Altersersparnissen erhebliche Unterschiede vorhanden sind. Räumliche Mikrosimulationu2003Räumliche Verteilungu2003Altersersparnisseu2003Geschlecht Vidyattama Y., Cassells R., Harding A. y McNamara J. ¿Rico o pobre en la jubilación? Análisis de áreas pequeñas en los ahorros de jubilación australianos en 2006 usando una microsimulación espacial, Regional Studies. Entre los australianos existen considerables diferencias en los planes de ahorro de jubilación. Sin embargo, poco se sabe sobre cómo estos patrones se desarrollan en un área pequeña, en parte debido a la ausencia de datos disponibles sobre el patrimonio en áreas pequeñas. En este artículo utilizamos técnicas espaciales de microsimulación para obtener estimaciones de los ahorros de jubilación para mujeres y hombres australianos que en 2006 tenían entre cuarenta y cinco y sesenta años en un área local estadística. Los resultados muestran grandes diferencias entre las áreas pequeñas de Australia en cuanto a la propiedad y los saldos medios de ahorros de jubilación. Microsimulación espacialu2003Distribución espacialu2003Ahorros en la jubilaciónu2003Sexo

Children in Housing Disadvantage in Australia: Development of a Summary Small Area Index

The importance of suitable, affordable housing in promoting the well-being of children is widely acknowledged. However, despite growing interest in geographic differences in child well-being, little is known about the spatial distribution of characteristics associated with housing disadvantage for Australian children. This paper seeks to develop knowledge in this area by creating a headline indicator of child housing disadvantage. It uses spatially disaggregated Census data from the Australian Bureau of Statistics (ABS) Census of Population and Housing 2006 capturing overcrowding, public housing tenure and dwelling type, and creates synthetic estimates of housing stress using spatial microsimulation techniques. These variables are then combined into a single index of housing disadvantage. Next, the spatial microsimulation techniques and index creation methodology are described, and the results of the validation process, including sensitivity analysis of alternative index creation approaches, are presented.

Trapped in jobless household areas: The spatio-temporal dynamics of children in jobless households in metropolitan Australia

Abstract Child disadvantage is an important issue in Australia today and is one of the key policy target areas of the Federal government. Child disadvantage not only affects child wellbeing in the present time but can also inhibit their future achievements. As well as individual- and family-level effects, there is growing evidence that child wellbeing and achievement is highly affected by the environment in which children grow up, and what resources and role models are available to them in their surrounding areas. In this paper, we examine the spatial clustering of children in jobless households through the computation of the Global and Local Morans statistics, for the Sydney and Melbourne metropolitan regions, and observe how these clusters have changed between the 2001 and 2006 census years. We find that there are significant spatial clusters of children in jobless households in both periods, suggesting that ‘place’ is a driver of this particular phenomenon. Further, we observe an expansion of ‘hot spots’, in both Sydney and Melbourne, suggesting that areas with high proportions of children in jobless households have both persisted and increased despite the sizeable economic growth in Australia over the same period.

Building a Static Spatial Microsimulation Model: Data Preparation

This chapter details issues and specific measures that need to be taken into account when preparing and harmonising sample survey and census data to build a spatial microsimulation model. Transforming and manipulating these data sources, so that they are as compatible as possible, will ensure that the spatial microsimulation technique being used is optimised and the output gained from the model will be as accurate as possible. Several processes and issues are discussed in this chapter, including data requirements and compatibility and data imputation.

Revisiting the Impact of Consumption Growth and Inequality on Poverty in Indonesia during Decentralisation

This article analyses the consumption growth elasticity and inequality elasticity of poverty in Indonesia, with a particular focus on the decentralisation period. Using provincial panel data, we show that the effectiveness of growth in alleviating poverty across provinces was greater during decentralisation—that is, between 2002 and 2010—than at any other point since 1984. The growth elasticity of poverty since 2002 is estimated to have been –2.46, which means that a 10% increase in average consumption per capita would have reduced the poverty rate by almost 25%. However, we also find that rising income inequality negated a quarter to a third of the 5.7-percentage-point reduction in the headcount poverty rate. This increasing inequality has contributed to a lower level of pro-poor growth than that maintained in Indonesia before decentralisation.