ECTS - University of Pisa
| Modules | Area | Type | Hours | Teacher(s) | |
| EUROPEAN INDICATORS OF POVERTY AND VULNERABILITIES FOR SUSTAINABLE DEVELOPMENT GOAL AND SEMINARS | SECS-S/01 | LEZIONI | 63 |
|
The course aims at the definition and measurement of coherent and comparable multidimensional local indicators of poverty and vulnerabilities that can be useful for local stakeholders for monitoring Sustainable Development Goals. The traditional data collections methods used in EU Surveys (e.g EU-Survey Income Living Conditions, Household Budget Surveys, Labour Force Survey) are introduced, focusing on the sampling design, sample weighting and estimation. The course also offers a general introduction to the usage of administrative data and large datasets as sources of statistical data (Big Data), with an emphasis on multi-frame surveys. The data sources from the big data repositories are listed and examined, highlighting their potentialities and limitations in the study of poverty and living conditions. Students will learn both traditional and new survey techniques focusing on the problems that might arise in the definition and measure of local indicators of poverty and living conditions.
At the end of the module, students should be familiar with the theme of local indicators and should be aware of the main problems/challenges regarding the usage of different data sources on poverty.
The knowledge will be assessed by
- meetings of the students to discuss the group work of the R Lab with the professor and the teaching staff
The student will be able to
- search and analysse the official data sources (surveys, Censuses) on poverty and living conditions in Europe
- read and apply the R codes to perform estimation of the indicators
- present the results of the application of the estimatorsl to European data
- during the session of the R Lab small individual projects will allow to understand how to run the R SAE codes
- there will be small practical sessions to search and consult the data sources (search tools and methods for a given research topic, searching the Web and the main Eurostat databases)
- the student will present the results of the small projects and of the searching og the data sources
- the student can develop awareness of the problems of local data on poverty and living conditions in EU
- the student can develop the ability to work in group and to manage the responsibilities as a group leader
- during the activities of R Lab and data searching the students will have to present short reports on the obtained results
- descriptive statistics and inference
- data processing abilities
- regression models
The course is in English and it provides
- lectures with slides
- group activities in R Lab using personal Laptop of the students
- seminars of experts, web sites
Maria Pia Sorvillo “Multidimensional Indicators for Sustainable Development Goals in Italy and Europe”
Marina Gandolfo “The implementation of the Agenda 2030 in Europe”
Jan van den Brakel “Big data in Official Statistics in Europe”
Mariola Chrzanowska “Surveying the poor and hard to reach populations in Europe”
Nina Drejerska “Tools for evaluating local policies in Europe”
- co-teachers: Gaia Bertarelli - Francesco Schirripa
- downloadable materials from Moodle platform of the Dept of Economics and Management
- interactions with the Professors through meetings, email, elearning site
The contents of the course are:
Materials on the definition of indicators, surveys and economic data:
Materials on survey methods and direct estimation of indicators
No variations of program, assessment methods, bibliography for non-attending students
The exam is composed by a seminary to be held during the appello plus and individual written test.
The individual/group work will be presented to the Professor(s) and will be discussed with them.
