#### 100% online

Start instantly and learn at your own schedule.

#### Approx. 17 hours to complete

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

#### English

Subtitles: English

#### 100% online

Start instantly and learn at your own schedule.

#### Approx. 17 hours to complete

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

#### English

Subtitles: English

### Syllabus - What you will learn from this course

Week
1
1 hour to complete

## Welcome module

2 videos (Total 10 min), 4 readings
2 videos
1.1.1 Welcome - introduction to the objectives and content of the course6m
Slides for Lesson 1 introduction to objectives and content of the course10m
Syllabus10m
List of Acronyms10m
List of References10m
3 hours to complete

## Some introductory issues

10 videos (Total 97 min), 4 readings, 1 quiz
10 videos
2.1.2 Need, use, pros and cons of composite indices8m
2.2.2 Statistical offices and the public demand, part I15m
2.2.3 Statistical offices and the public demand, part II8m
2.2.4 The demand for social indicators1m
2.2.5 The political demand, part I10m
2.2.6 The political demand, part II9m
2.3.1 Good practices for composite indices, part I12m
2.3.2 Good practices for composite indices, part II10m
2.4.1 Constructing composite indices: an overview14m
Slides for lesson 1 introduction, definition and first examples10m
Slides for Lesson 2 the demand for composite indices10m
Slides for Lesson 3 towards a quality framework10m
Slides for Lesson 4 the steps of constructing a composite index10m
1 practice exercise
Quizz Module 220m
Week
2
3 hours to complete

## The steps of constructing a composite index

10 videos (Total 93 min), 4 readings, 1 quiz
10 videos
3.1.2 Developing an economic/statistical framework, part II12m
3.1.3 Selecting variables and data issues9m
3.2.1 A unifying framework for composite indices4m
3.2.2 The transformation functions10m
3.2.3 The elasticity of substitution6m
3.3.1 Choosing the weights, part I9m
3.3.2 Choosing the weights, part II17m
3.3.3 Choosing the weights, part III6m
3.4.1 Robustness of results7m
Slides for Lesson 1 developing an economic/statistical framework10m
Slides for Lesson 2 A unifying approach to construct composite indices10m
Slides for Lesson 3 Choosing the weights10m
Slides for Lesson 4 After the construction10m
1 practice exercise
Quizz Module 320m
Week
3
3 hours to complete

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

10 videos (Total 66 min), 8 readings, 1 quiz
10 videos
4.1.2 Introduction to the index and YLMI tool4m
4.1.3 Index components7m
4.1.4 Index aggregation and results7m
4.1.5 User perspective3m
4.2.1 Motivation of the KOF Globalization index4m
4.2.2 Selection of variables10m
4.2.3 Normalization, weighting and aggregation6m
4.2.4 Results7m
4.2.5 User perspective10m
Slides for Lesson 1 Youth Labour Market Index10m
KOF Study n°51 (optional)10m
KOF Study n°67 (optional)10m
KOF Study n°83 (optional)10m
Slides for Lesson 2 KOF Globalization Index10m
IMF 2007 Reaping the benefits of financial globalization (optional)10m
Kose et al., IMF 2009 (optional)10m
Schularick, JFE 2006 (optional)10m
1 practice exercise
Quizz Module 420m
Week
4
2 hours to complete

## Export Potential Assessment (ITC)

12 videos (Total 65 min), 3 readings, 1 quiz
12 videos
5.1.2 Global overview of the export potential assessment3m
5.1.3 Motivation and data treatment8m
5.1.4 Economic framework4m
5.1.5 First dimension: the supply side7m
5.1.6 Second dimension: the demand side5m
5.1.7 Third dimension: the bilateral trade relations, and results4m
5.1.8 Aggregation and final indicator construction5m
5.2.1 Overview of PDI, motivation and data treatment5m
5.2.2 The product space methodology6m
5.2.3 Dimensions of the index: supply and demand sides, and results7m
5.2.4 User perspective2m
Slides for Lesson 1 Export Potential Index10m
Export Potential Assessment Methodology (optional)10m
Slides for Lesson 2 Product Diversification Index10m
1 practice exercise
Quizz Module 520m
5.0
5 Reviews

### Top reviews from Global Statistics - Composite Indices for International Comparisons

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.

## Instructors

### Stefan Andreas Sperlich

Professor
GSEM, Research Center for Statistics

### Juan Manuel Rodriguez Poo (in Partnership with UNIGE)

Professor
Departamento de Economía, Universidad de Cantabria

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....

• Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.