STATISTICAL SURVEYS AND QUALITY OF ECONOMIC DATA
The course aims at developing expertise to:
- Be able to manage analytic tools for planning each step of a statistical survey
- Know how to use the methodology and analytic instruments that statistics provides to data treatment (mainly, business and economic data) and data quality
- Be able to implement a survey from an operational point of view and to follow its several steps
EXPECTED LEARNING OUTCOMES:
Knowledge and understanding:
The student should be able to know the main theories and techniques for planning in each step a statistical survey to collect economic data.
Applying knowledge and understanding:
The student should be able to use the acquired knowledge in practical circumstances, applying the main statistical tools for data collection and for analysing business and economic dynamics.
The student should have the maturity and the ability to choose autonomously the more suited instruments to solve a specific problem.
The student should be able to communicate clearly and with an adequate technical language the contents of the Course.
Lifelong learning skills:
The student should be able to show a good learning ability and autonomy in investigating in-depth the matters of the Course using the references provided by the teacher. The student should be able to select data sources and to implement the more suited methodologies in the specific circumstances.
Basic tools of general mathematics, statistics (descriptive and inference)
The contents of the course can be divided into three main topics:
FIRST PART (12 hours) Official statistics: national and international statistical system; quality dimensions; structural statistics and conjunctures.
SECOND PART (18 hours) Statistical surveys: survey design and objectives; sample methods; questionnaire; sampling and non -sampling errors; missing data; control and correction procedures.
THIRD PART (18 hours) Official statistical surveys: Survey on Household Income and Wealth (SHIW); Labour Force Survey; Household Budget Survey; business surveys.
Official statistics: national and international statistical system; quality dimensions; structural statistics and conjunctures. Statistical surveys: survey design and objectives; sample methods; questionnaire; sampling and non -sampling errors; missing data; control and correction procedures. Official statistical surveys: Survey on Household Income and Wealth (SHIW); Labour Force Survey; Household Budget Survey; business surveys.
Traditional lectures. Case-studies discussion.
- European Commission (2017), Handbook on methodology of modern business statistics
- Kish L., Survey Sampling, Wiley.
- Giovannini E., Le statistiche economiche, Il Mulino, II ed.
- Supplementary materials on the case studies will be distributed to the attending students and available on-line
The learning assessment is ongoing during the Course through interaction with students and tests on the main topics, in order to evaluate their ability to apply theoretical knowledge to data analysis. An oral assessment is planned at the end of the Course to verify the level of knowledge and the ability to understand the methods for designing a sample survey of economic data. The use of the specialised lexicon of sample surveys also contributes to the final assessment.