ECTS - University of Pisa
At the end of the course the student will have knowledge on
1) data collection methods
2) the use of R
At 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 official surveys or other sources.
The knowledge will be assessed by
- Ability to select official data and relevant topic: drafting of a paper based on official data on a specific target, in accordance with teachers
- Ability to present a paper: presentation of the paper and discussion
- Knowledge of contents course: discussion of the students answers to three questions
The students will be able to
- search and analyse the official data sources (surveys, Censuses)
- produce a paper based on data
- present the results of the 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 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) R software
Data structure and functions; Data elaboration; Plot and indicators
Reference material will be provided during the course.
Individual written examination (3 questions)
Oral examination
Written report (max 10 pages)
Individual written examination (3 questions)
