At the end of the course the student will have knowledge on
1) data collection methods
2) the use of secondary sources in data production
3) the surveying of specific targets: focus on migration
t the end of the course student will be able to deal with traditional and modern data collection methods and will be able to present a simple policy paper using data from surveys or other sources.
The knowledge will be assessed by
- meetings of the students to discuss their work for the policy paper 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
- produce a policy paper based on data
- present the results of the policy paper
- 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 data collection using surveys and integrating administrative archives
- the student can develop the ability to work in group and to manage the responsibilities as a group leader
- during the activities and data searching the students will have to present short reports on the obtained results
- during the group activities the modalities of the definition of responsibilities, sharing of the workload and management of the project steps will be monitored and evaluated
- descriptive statistics and inference
- data processing abilities
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
- co-teachers: researchers from Italian National Statistical Institute will be involved
- downloadable materials from Moodle platform of the Dept of Economics and Management
- interactions with the Professors through meetings, email, elearning site
1) Data collection methods
Official statistics: meaning and implications; Data collection procedure. The general model GSBPM; Data collection solutions. Introduction to difference model based| model assisted; Reference population, Survey population, Survey frame, Field organization, Contact of reporting units., Questionnaires, Direct observation, Electronic data reporting, Administrative data, Big data. Data quality.
2) The use of secondary sources in data production
Definitions and nature of secondary data, framework for access to the data, quality, data linkage and matching, supporting statistical surveys with administrative data, administrative data in the production of statistical register, a register based statistical system.
3) Survey on specific targets
Reference material will be provided during the course.
No variations of program, assessment methods, bibliography for non-attending students
The exam is an individual/group written policy paper. The individual/group work will be delivered before the appello and presented to the Professor(s) (slides - 20 minutes) and discussed with them.