Monitoring Convergence in the European Union with the convergEU Package for R

IF 0.6 Q4 STATISTICS & PROBABILITY
F. Stefanini, N. D. Nikiforova, Eleonora Peruffo, Martina Bisello, Chiara Litardi, Massimiliano Mascherini
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引用次数: 0

Abstract

Upward convergence, that is an improvement of Members States’ economic and social indicators’ performance, is a core policy target of the European Union. This concept isembodied in the European Pillar of social rights (EPSR) proclaimed by EU leaders in 2017. In 2018 Eurofound has developed a methodology to measure convergence, which has beenimplemented in the convergEU R package described in this work (rel. 0.5.0). The package extends the original STATA toolbox developed by Eurofound beyond the calculations ofthe four main measures of convergence as it provides functions to download, filter, impute, smooth indicators. Country and indicator fiches are automatically prepared and compiledin HTML format. Graphical output includes qualitative patterns of change along time to emphasize the key behaviour of an indicator with respect to the average of an aggregationof Member States. Besides EU Member States, the analysis of other collections of regions is supported for general indicators if context information is provided. A user-friendly,no coding required, shiny-based web application provides policy makers with a tool to produce convergence reports on selected indicators and countries.
用convergEU软件包监测欧洲联盟的趋同
向上趋同,即成员国经济和社会指标绩效的改善,是欧洲联盟的核心政策目标。这一概念体现在欧盟领导人2017年宣布的欧洲社会权利支柱(EPSR)中。2018年,Eurofound开发了一种测量收敛性的方法,该方法已在本工作中描述的convergEU R包中实现(rel. 0.5.0)。该软件包扩展了Eurofound开发的原始STATA工具箱,超出了四个主要收敛措施的计算,因为它提供了下载,过滤,impute,平滑指标的功能。国家和指标文件以HTML格式自动编制和编译。图形输出包括随时间变化的质量模式,以强调指标相对于会员国总数的平均值的关键行为。除欧盟成员国外,如果提供背景资料,还支持对其他区域集合的分析,以编制一般指标。这是一款用户友好、无需编码、基于shine的web应用程序,为政策制定者提供了一种工具,可以制作关于选定指标和国家的趋同报告。
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来源期刊
Austrian Journal of Statistics
Austrian Journal of Statistics STATISTICS & PROBABILITY-
CiteScore
1.10
自引率
0.00%
发文量
30
审稿时长
24 weeks
期刊介绍: The Austrian Journal of Statistics is an open-access journal (without any fees) with a long history and is published approximately quarterly by the Austrian Statistical Society. Its general objective is to promote and extend the use of statistical methods in all kind of theoretical and applied disciplines. The Austrian Journal of Statistics is indexed in many data bases, such as Scopus (by Elsevier), Web of Science - ESCI by Clarivate Analytics (formely Thompson & Reuters), DOAJ, Scimago, and many more. The current estimated impact factor (via Publish or Perish) is 0.775, see HERE, or even more indices HERE. Austrian Journal of Statistics ISNN number is 1026597X Original papers and review articles in English will be published in the Austrian Journal of Statistics if judged consistently with these general aims. All papers will be refereed. Special topics sections will appear from time to time. Each section will have as a theme a specialized area of statistical application, theory, or methodology. Technical notes or problems for considerations under Shorter Communications are also invited. A special section is reserved for book reviews.
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