发帖
雷达卡
摘要翻译：
本文考察了爱尔兰收入的空间分布。中央统计局在选举司一级提供的家庭可支配总收入中位数数据被用来探讨收入的空间变异性。Geary的C强调了收入的空间依赖性，强调收入的分布不是跨空间的随机分布，而是受位置的影响。考虑到空间自相关的存在，利用全局OLS回归将导致有偏差的结果。地理加权回归(GWR)用于研究收入的空间异质性和当地人口驱动因素对收入的影响。GWR的结果显示，人口驱动因素对不同地区的收入有不同程度的影响。单身父母在科克通勤带比在都柏林通勤带有更强的负面影响。家庭收入与该地区人口背景之间的关系是复杂的。本文试图考察这些关系，承认空间的影响。
---
英文标题：
《A Spatial Analysis of Disposable Income in Ireland: A GWR Approach》
---
作者：
Paul Kilgarriff and Martin Charlton
---
最新提交年份：
2020
---
分类信息：
一级分类：Economics 经济学
二级分类：General Economics 一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
--
一级分类：Quantitative Finance 数量金融学
二级分类：Economics 经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
--
---
英文摘要：
This paper examines the spatial distribution of income in Ireland. Median gross household disposable income data from the CSO, available at the Electoral Division (ED) level, is used to explore the spatial variability in income. Geary's C highlights the spatial dependence of income, highlighting that the distribution of income is not random across space and is influenced by location. Given the presence of spatial autocorrelation, utilising a global OLS regression will lead to biased results. Geographically Weighted Regression (GWR) is used to examine the spatial heterogeneity of income and the impact of local demographic drivers on income. GWR results show the demographic drivers have varying levels of influence on income across locations. Lone parent has a stronger negative impact in the Cork commuter belt than it does in the Dublin commuter belt. The relationship between household income and the demographic context of the area is a complicated one. This paper attempts to examine these relationships acknowledging the impact of space.
---
PDF链接：
https://arxiv.org/pdf/2008.11720
京公网安备 11010802022788号
