このコースについて
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自分のスケジュールですぐに学習を始めてください。

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中級レベル

約17時間で修了

推奨:5 weeks, 3 hours per week (6 hours for week 2 only if no background on statistics)...

英語

字幕:英語

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

約17時間で修了

推奨:5 weeks, 3 hours per week (6 hours for week 2 only if no background on statistics)...

英語

字幕:英語

シラバス - 本コースの学習内容

1
1時間で修了

Welcome module

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.

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2件のビデオ (合計10分), 4 readings
2件のビデオ
Trailer2 分
1.1.1 Welcome - introduction to the objectives and content of the course6 分
4件の学習用教材
Slides for Lesson 1 introduction to objectives and content of the course10 分
Syllabus10 分
List of Acronyms10 分
List of References10 分
3時間で修了

Some introductory issues

This module contains four lessons. The first lesson is an introduction to CIs. It defines what a CI is, introduces their mathematical notation and reviews some core historical aspects of their development, the need and use of CIs. The second lesson focuses on the demand for CIs while the third lesson develops a qualitative framework for the construction of CIs. More specifically, the intrinsic quality of CIs is discussed by reviewing their pros and cons. Finally, the last lesson of this introductory module sketches the steps involved in the construction of a CI. Learning outcomes: by the end of this module you will have a clear idea what a CI is (definition, ingredients, history, objective), know why it is needed and where it is used (needs and demand), be familiar with the quality requirements and have a first idea steps involved in the construction of a CI.

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10件のビデオ (合計97分), 4 readings, 1 quiz
10件のビデオ
2.1.2 Need, use, pros and cons of composite indices8 分
2.2.2 Statistical offices and the public demand, part I15 分
2.2.3 Statistical offices and the public demand, part II8 分
2.2.4 The demand for social indicators1 分
2.2.5 The political demand, part I10 分
2.2.6 The political demand, part II9 分
2.3.1 Good practices for composite indices, part I12 分
2.3.2 Good practices for composite indices, part II10 分
2.4.1 Constructing composite indices: an overview14 分
4件の学習用教材
Slides for lesson 1 introduction, definition and first examples10 分
Slides for Lesson 2 the demand for composite indices10 分
Slides for Lesson 3 towards a quality framework10 分
Slides for Lesson 4 the steps of constructing a composite index10 分
1の練習問題
Quizz Module 220 分
2
3時間で修了

The steps of constructing a composite index

This module is organized along four lessons. The objective of this module is to familiarize you with the key steps to undertake when constructing a CI. The first lesson will develop a theoretical framework to support CIs’ construction. Notably, it will cover topics such as variables selection and data issues. The second lesson will introduce a unifying approach to construct CI by discussing aspects related to transformation functions and the elasticity of substitution. The entire third lesson will be devoted to an essential aspect in the construction of a CI: the choice of weights. Finally, the module will conclude by addressing questions arising after the construction of a CI. For instance, lesson four will discuss how to assess the robustness of the resulting CI. By the end of this module you will be familiar with all the most important technical (or say statistical) steps involved in constructing CIs.

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10件のビデオ (合計93分), 4 readings, 1 quiz
10件のビデオ
3.1.2 Developing an economic/statistical framework, part II12 分
3.1.3 Selecting variables and data issues9 分
3.2.1 A unifying framework for composite indices4 分
3.2.2 The transformation functions10 分
3.2.3 The elasticity of substitution6 分
3.3.1 Choosing the weights, part I9 分
3.3.2 Choosing the weights, part II17 分
3.3.3 Choosing the weights, part III6 分
3.4.1 Robustness of results7 分
4件の学習用教材
Slides for Lesson 1 developing an economic/statistical framework10 分
Slides for Lesson 2 A unifying approach to construct composite indices10 分
Slides for Lesson 3 Choosing the weights10 分
Slides for Lesson 4 After the construction10 分
1の練習問題
Quizz Module 320 分
3
3時間で修了

Globalization and Youth labour market indices (ETH Zurich/KOF)

In this module, you will discover two popular indices developed by ETH Zurich: the Young Labour Market Index and the KOF Globalization index. In the first lesson of this week, you will learn more about the Youth Labour Market Index (YLMI). The KOF YLMI captures various aspects of the youth labour market situation of countries across the world. You will learn which indicators are included in the KOF YLMI and how these are aggregated into a single index. Furthermore, you will get to know an online tool that invites you to analyse the youth labour market situation yourself. In the second lesson of this module, you will learn about the KOF Globalization Index which is a widely used composite indicator that measures the degree of globalization for every country in the world since 1970. It distinguishes between three dimensions of globalization: Economic, social and political globalization. In the following module, you will learn why it is important to measure globalization and what the different stages in constructing the KOF Globalization Index are. A critical discussion of the Index sums up the module.

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10件のビデオ (合計66分), 8 readings, 1 quiz
10件のビデオ
4.1.2 Introduction to the index and YLMI tool4 分
4.1.3 Index components7 分
4.1.4 Index aggregation and results7 分
4.1.5 User perspective3 分
4.2.1 Motivation of the KOF Globalization index4 分
4.2.2 Selection of variables10 分
4.2.3 Normalization, weighting and aggregation6 分
4.2.4 Results7 分
4.2.5 User perspective10 分
8件の学習用教材
Slides for Lesson 1 Youth Labour Market Index10 分
KOF Study n°51 (optional)10 分
KOF Study n°67 (optional)10 分
KOF Study n°83 (optional)10 分
Slides for Lesson 2 KOF Globalization Index10 分
IMF 2007 Reaping the benefits of financial globalization (optional)10 分
Kose et al., IMF 2009 (optional)10 分
Schularick, JFE 2006 (optional)10 分
1の練習問題
Quizz Module 420 分
4
2時間で修了

Export Potential Assessment (ITC)

This module focuses on trade indices developed by the International Trade Centre, the Export Potential Index (EDI) and the Product Diversification index (PDI). Frictions often create a gap between what a country could export and what it does export to markets around the world. Trade advisers could better address these frictions and help firms realize greater exports if they knew exactly which products and markets offer best chances. During this week, you will learn about the Export Potential Assessment (EPI and PDI), which indicates products, sectors and markets for trade development activities for over 200 countries and 4,000 products. Based upon an assessment of the exporting country’s supply capacity, the target market’s demand and tariff conditions as well as the bilateral links between the exporting country and the target market, it provides a ranking of untapped opportunities.

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12件のビデオ (合計65分), 3 readings, 1 quiz
12件のビデオ
5.1.2 Global overview of the export potential assessment3 分
5.1.3 Motivation and data treatment8 分
5.1.4 Economic framework4 分
5.1.5 First dimension: the supply side7 分
5.1.6 Second dimension: the demand side5 分
5.1.7 Third dimension: the bilateral trade relations, and results4 分
5.1.8 Aggregation and final indicator construction5 分
5.2.1 Overview of PDI, motivation and data treatment5 分
5.2.2 The product space methodology6 分
5.2.3 Dimensions of the index: supply and demand sides, and results7 分
5.2.4 User perspective2 分
3件の学習用教材
Slides for Lesson 1 Export Potential Index10 分
Export Potential Assessment Methodology (optional)10 分
Slides for Lesson 2 Product Diversification Index10 分
1の練習問題
Quizz Module 520 分
5.0
5件のレビューChevron Right

Global Statistics - Composite Indices for International Comparisons からの人気レビュー

by MJMar 30th 2019

Eventhough this isn't something I want to particularly do in the future I would like to say that I have enjoyed learning about composite indicators. I would highly recommend this MOOC to anyone.

講師

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Stefan Andreas Sperlich

Professor
GSEM, Research Center for Statistics
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Juan Manuel Rodriguez Poo (in Partnership with UNIGE)

Professor
Departamento de Economía, Universidad de Cantabria

ジュネーヴ大学(University of Geneva)について

Founded in 1559, the University of Geneva (UNIGE) is one of Europe's leading universities. Devoted to research, education and dialogue, the UNIGE shares the international calling of its host city, Geneva, a centre of international and multicultural activities with a venerable cosmopolitan tradition....

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