Expenditure needs and drawdown of retirement savings during later life: how important are demographic factors and financial resources?
晚年的支出需求和退休储蓄的提取:人口因素和财务资源有多重要?
基本信息
- 批准号:LP0776784
- 负责人:
- 金额:$ 14.01万
- 依托单位:
- 依托单位国家:澳大利亚
- 项目类别:Linkage Projects
- 财政年份:2008
- 资助国家:澳大利亚
- 起止时间:2008-06-30 至 2016-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Projections of expenditure patterns in retirement which allow for population heterogeneity will provide individuals with a better appreciation of their income needs and their savings requirements for a comfortable retirement. It will also enable financial institutions to develop products which better target retirees' needs over the course of retirement, and in addition it will enable improved assessment of aspects of Government income support policy. Specifically, understanding the complex interactions between private and public pensions, and concession card receipt upon expenditure behaviour, will enable more accurate costings of the public support of elderly families as Australia's population ages.
考虑到人口的异质性,对退休支出模式的预测将使个人更好地了解其收入需求和舒适退休所需的储蓄需求。它还将使金融机构能够开发更好地针对退休人员在退休过程中的需求的产品,此外,它还将有助于改进对政府收入支助政策各方面的评估。具体地说,了解私人和公共养老金之间的复杂互动,以及优惠卡收入与支出行为之间的关系,将使人们能够更准确地计算随着澳大利亚人口老龄化而对老年家庭的公共支持的成本。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Prof Terence O'Neill其他文献
Prof Terence O'Neill的其他文献
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{{ truncateString('Prof Terence O'Neill', 18)}}的其他基金
The improvement of climate change investigations by developing and applying innovative evolutionary subset time series modelling using semi-parametric sparse-patterned approaches
通过使用半参数稀疏模式方法开发和应用创新的进化子集时间序列建模来改进气候变化调查
- 批准号:
DP1092801 - 财政年份:2011
- 资助金额:
$ 14.01万 - 项目类别:
Discovery Projects
Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling
可再生能源和金融资源市场的投资方法和机会,使用半参数方法进行演化子集时间序列格梯建模
- 批准号:
LP0989811 - 财政年份:2010
- 资助金额:
$ 14.01万 - 项目类别:
Linkage Projects
The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling.
通过开发引导方法并将其应用于创新的基于进化内核的子集时间序列建模来改进投资方法。
- 批准号:
LP0883801 - 财政年份:2009
- 资助金额:
$ 14.01万 - 项目类别:
Linkage Projects
Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches
金融市场的投资方法和应用:使用半参数方法的基于进化核的子集时间序列
- 批准号:
LP0562008 - 财政年份:2006
- 资助金额:
$ 14.01万 - 项目类别:
Linkage Projects
Floor trading versus computer trading - Does it matter?
场内交易与电脑交易——重要吗?
- 批准号:
DP0343994 - 财政年份:2003
- 资助金额:
$ 14.01万 - 项目类别:
Discovery Projects
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