Lecturer Pratesi Monica, Natalie Shlomo, Luigi Biggeri,
ECTS 9 (6 European Statistical System and Data Production Model + 3 Poverty
and Living Conditions Indicators)
The course aims to provide definition and measure of local indicators that be
coherent and comparable across Europe and be useful and used by local
stakeholders. It provides knowledge on the traditional data collections
methods used in EU Surveys (e.g EU-Survey Income Living Conditions,
Household Budget Surveys, Labour Force Survey) and a general
introduction to the usage of administrative data sets and also large datasets
as sources of statistical data (Big Data), with a focus on multi-frame
surveys. It will tackle the most important topics in big data ranging from
data collection, analysis and visualization, as well as applications of
statistical models to Big data. At the end of the module student should be
able to be confident with the theme of local indicators and Big Data in
Official and should know the main problems/challenges linked to their
usage as source of statistical data.
Students will learn traditional and new survey techniques and what might be
the problems that arise in the definition and measure of local indicators of
poverty and living conditions.
Final valuation: Written exam.
Students can take the exam for the entire course, “Analysis of European data
by small area methods” (9 ECTS), or for the courses “European statistical
system and data production model” (6 ECTS) and “Poverty and living
conditions indicators” 3 ECTS with reduced programs.
This course is part of a Jean Monnet Chair.