衡量欧洲的社会包容情况:利用公共政策规划者的专家偏好的非加法方法。

IF 1.5 3区 数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
Ludovico Carrino, Luca Farnia, Silvio Giove
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引用次数: 0

摘要

本文利用欧盟统计局(Eurostat)的纵向数据,为欧洲五个国家的行政区域引入了一个规范的、由专家提供信息的、随时间变化的社会包容指数。我们的贡献有两个方面:首先,我们的指标基于一个非加法聚合算子(Choquet Integral),这使我们能够对许多偏好结构进行建模,并克服其他方法的局限性。其次,我们从一个由意大利社会政策决策者和经济学者组成的专家小组那里获得了聚合算子的参数。我们的研究结果表明,地中海国家的包容水平低于北部/中部国家,而且这种差距在过去十年中不断扩大。我们的结果补充并部分质疑了数据驱动的汇总方法所提供的现有证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Social Inclusion in Europe: a non-additive approach with the expert-preferences of public policy planners.

This paper introduces a normative, expert-informed, time-dependent index of Social Inclusion for European administrative regions in five countries, using longitudinal data from Eurostat. Our contribution is twofold: first, our indicator is based on a non-additive aggregation operator (the Choquet Integral), which allows us to model many preferences' structures and to overcome the limitations embedded in other approaches. Second, we elicit the parameters of the aggregation operator from an expert panel of Italian policymakers in Social Policy, and Economics scholars. Our results highlight that Mediterranean countries exhibit lower Inclusion levels than Northern/Central countries, and that this disparity has grown in the last decade. Our results complement and partially challenge existing evidence from data-driven aggregation methods.

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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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