Global Statistics - Composite Indices for International Comparisons

所在平台: CourseraArchive

课程类别: 其他类别

大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/global-statistics

课程评论:没有评论

第一个写评论        关注课程

课程简介

University of Geneva

课程大纲

Welcome to the first module of this course. In this welcome module, you will be introduced with the Professors that will take part in this course on composites indices. We explain the rationale for composite indices (CIs) and show how they can be of interest. This course is open to NGO members, politicians, journalists, students and all persons interested in understanding, creating and/or interpreting CIs. By the end of this first module, you will have an overview of the content of the course week by week.

课程评论(0条)

课程详情

The number of composite indices that are constructed and used internationally is growing very fast; but whilst the complexity of quantitative techniques has increased dramatically, the education and training in this area has been dragging and lagging behind. As a consequence, these simple numbers, expected to synthesize quite complex issues, are often presented to the public and used in the political debate without proper emphasis on their intrinsic limitations and correct interpretations. In this course on global statistics, offered by the University of Geneva jointly with the ETH Zürich KOF, you will learn the general approach of constructing composite indices and some of resulting problems. We will discuss the technical properties, the internal structure (like aggregation, weighting, stability of time series), the primary data used and the variable selection methods. These concepts will be illustrated using a sample of the most popular composite indices. We will try to address not only statistical questions but also focus on the distinction between policy-, media- and paradigm-driven indicators.

全球统计-用于国际比较的综合指数:在国际范围内构建和使用的综合指数的数量正在快速增长。但是,尽管定量技术的复杂性急剧增加,但该领域的教育和培训却一直滞后。结果,这些简单的数字,预计会综合相当复杂的问题,经常在没有适当强调其固有局限性和正确解释的情况下,向公众展示并用于政治辩论。 在日内瓦大学与苏黎世联邦理工学院联合开设的全球统计课程中,您将学习构建综合指数的一般方法以及由此产生的一些问题。我们将讨论技术特性,内部结构(如聚合,加权,时间序列的稳定性),使用的主要数据和变量选择方法。这些概念将使用最受欢迎的综合指数样本进行说明。我们将不仅试图解决统计问题,而且还将关注政策,媒体和范式驱动指标之间的区别。

课程标签

0人关注该课程

主题相关的课程