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Developing Spatial Microsimulation Estimates of Small Area Advantage and Disadvantage among Older Australians

机译:在澳大利亚老年人中开发小区域优势和劣势的空间微观模拟估计

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摘要

This paper presents innovative applications of spatial microsimulation techniques to develop estimates of the small area distribution of deep economic disadvantage and relative economic advantage among Australians 55 years and older, combining data on disposable income, main source of income, and housing tenure. The spatial microsimulation model produces synthetic small area measures of economic disadvantage and advantage among older people that are multidimensional. This approach recognises that income levels alone may not adequately capture the complexity of relative advantage and disadvantage among older people. We particularly focus here on addressing and investigating the limits of spatial microsimulation modelling, describing and testing a number of possible methods for validating the synthetic estimates and identifying ongoing challenges and opportunities in the estimation of older adults' economic characteristics at a small area level. We find that, once we have adjusted the benchmarks to better match our research and excluded from our analysis small areas for which the modelling is unable to produce accurate results (often because of small sample sizes or unusual population characteristics), we are able to accurately match our synthetic estimates with known small area data, with Pearson's R values between 0.95 and 0.98. Our final results show substantial small area differences in economic advantage and disadvantage among older Australians and point to the need for understanding the geographic aspects of diversity in the older population. Such an understanding will allow for the development and appropriate targeting of policy responses to the needs of older people of modest economic means. Copyright © 2011 John Wiley & Sons, Ltd.
机译:本文介绍了空间微观模拟技术的创新应用,以结合可支配收入,主要收入来源和住房使用权的数据,对澳大利亚55岁以上老年人的深层经济劣势和相对经济优势的小区域分布进行估算。空间微观模拟模型产生了综合的小面积测量方法,这些测量方法在多维老年人中具有经济劣势和优势。这种方法认识到仅靠收入水平可能无法充分反映老年人相对优缺点的复杂性。在这里,我们特别关注解决和研究空间微观模拟建模的局限性,描述和测试多种可能的方法,以验证综合估算并确定小范围水平上老年人经济特征估算中的持续挑战和机遇。我们发现,一旦我们调整了基准以更好地匹配我们的研究并从分析中排除了模型无法产生准确结果的小区域(通常是由于样本量小或人口特征不寻常),我们就能够准确将我们的综合估算值与已知的小面积数据相匹配,皮尔森的R值在0.95至0.98之间。我们的最终结果表明,老年人口在经济优势和劣势上存在小范围差异,这表明需要了解老年人口多样性的地理方面。这种理解将有助于制定和适当地针对经济适度的老年人需求的政策对策。版权所有©2011 John Wiley&Sons,Ltd.

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