Coordinator Matteo Mazziotta (ISTAT)
Core issues cover:
- How to carry out a statistical survey
- Descriptive statistics
- Sampling techniques
- Multivariate analysis
- Composite indicators
The module aims to give to the students the statistical tools necessary to plan and implement a statistical survey and to elaborate and analyze data. The subjects can be divided into six sections:
– Carry out a statistical survey
Every step of the planning is analyzed, focusing on the design and kind of the survey, the creation of the questionnaire, the main sampling techniques, the estimation of sampling and non-sampling errors. In addition, the concept of statistical survey quality is deeply analyzed.
– Descriptive statistics
It concerns how to publish data (numerical or not) in tables and chart, the main measures of central tendency, of variability and shape, the concentration of a transferable character, the index numbers. In addition, the correlation and the linear regressions are treated.
– Sampling techniques
This part concerns the sampling designs, the estimation problem, the properties of estimators, the sample size and the sampling error. In addition, non-probabilistic selection techniques are treated with particular attention to methods for developing countries.
– Multivariate analysis
In this part of the course the main techniques of data reduction are treated, in particular The Principal Components Analysis (PCA) and cluster analysis.
– Composite indicators
This section is dedicated to the measurement of multidimensional phenomena as development, poverty, malnutrition, hungry, quality of life, etc. The most innovative methods for the construction of composite indicators are presented. In particular, the stages of standardization, weighting and aggregation of the individual indicators are deeply treated.
The main demographic phenomena in one generation are introduced, with particular emphasis about mortality rate and birth rate. In addition, the main demographic rates and the Lexis diagram are presented.
During the course there will be developed many exercises (computer laboratory) finalized to the introduction of the main statistical software for data analysis.