英国父母与子女之间支持交换的纵向分析

IF 1.5 3区 数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
F. Steele, Siliang Zhang, E. Grundy, T. Burchardt
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引用次数: 1

摘要

我们考虑父母和成年子女之间的支持交换如何因人口和社会经济特征而异,并审查实际支持和财政支持之间转移和替代方面互惠的证据。使用2011-19年英国家庭纵向研究的数据,使用多元随机效应概率模型对给予和接受的帮助的重复测量进行了联合分析。交换是从孩子和父母的角度考虑的。在后一种情况下,我们提出了一种新的方法来解释母亲和父亲报告之间的相关性,并开发了一种适用于具有多个结果的大型数据集的有效马尔可夫链蒙特卡罗算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Longitudinal analysis of exchanges of support between parents and children in the UK
We consider how exchanges of support between parents and adult children vary by demographic and socio-economic characteristics and examine evidence for reciprocity in transfers and substitution between practical and financial support. Using data from the UK Household Longitudinal Study 2011–19, repeated measures of help given and received are analysed jointly using multivariate random effects probit models. Exchanges are considered from both a child and parent perspective. In the latter case, we propose a novel approach to account for the correlation between mother and father reports and develop an efficient Markov chain Monte Carlo algorithm suitable for large datasets with multiple outcomes.
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来源期刊
CiteScore
2.90
自引率
5.00%
发文量
136
审稿时长
>12 weeks
期刊介绍: Series A (Statistics in Society) publishes high quality papers that demonstrate how statistical thinking, design and analyses play a vital role in all walks of life and benefit society in general. There is no restriction on subject-matter: any interesting, topical and revelatory applications of statistics are welcome. For example, important applications of statistical and related data science methodology in medicine, business and commerce, industry, economics and finance, education and teaching, physical and biomedical sciences, the environment, the law, government and politics, demography, psychology, sociology and sport all fall within the journal''s remit. The journal is therefore aimed at a wide statistical audience and at professional statisticians in particular. Its emphasis is on well-written and clearly reasoned quantitative approaches to problems in the real world rather than the exposition of technical detail. Thus, although the methodological basis of papers must be sound and adequately explained, methodology per se should not be the main focus of a Series A paper. Of particular interest are papers on topical or contentious statistical issues, papers which give reviews or exposés of current statistical concerns and papers which demonstrate how appropriate statistical thinking has contributed to our understanding of important substantive questions. Historical, professional and biographical contributions are also welcome, as are discussions of methods of data collection and of ethical issues, provided that all such papers have substantial statistical relevance.
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