- Docente: Ignazio Drudi
- Credits: 10
- SSD: SECS-S/03
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LS) in Statistical and Economic Sciences (cod. 0211)
Learning outcomes
The course's goal is to provide for knowledge and hand-on ability about statistical measurement and analysis of main macroeconomic phenomena (firm's structure, productivity and competitiveness; industrial localization; economic development; economic welfare). Students are required to have mastery of definition and statistical measures of main macroeconomic aggregates, that is the topics of the first course in Economic Statistics (see).
Course contents
1- Statistica analysis of firms and of local productive systems
- Main sources of data (censuses, surveys, administrative data)
- Measuring and analyzing firm's size and sectorial concentration
- Measuring productivity, competitiveness and production capacity
- Measuring and analyzing human capital
- Measuring and analyzing local system specialization
2- Statistical analysis of economic development
- Economic growth and development
- The economic growth account system “Cross-countries” analyses
- Measuring economic convergence
3- Statistical analysis of economic welfare: income and consumption
- Variability and skewness in income distribution
- Measuring income distribution inequalities
- Defining and measuring poverty
- Measuring and surveying consumptions
- Consumption functions and consumers' behaviour
Readings/Bibliography
For foreign students, texts in mother language will be specified by the teacher. Please contact him at infodrudi@stat.unibo.it
Teaching methods
- Frontal lessons
- Guided case-studies
- Individual case-studies, checked during lessons
Assessment methods
Oral examination with written preliminary test
Teaching tools
In the classroom:
- Overhead Projector
- PC equipped with video projector
In the teacher's internet site:
- Handouts and transparencies on-line
- Teaching material on-line
- Exercises on-line with interactive check
- e-mail address devoted to didactic help: infodrudi@stat.unibo.it
Links to further information
http://www2.stat.unibo.it/drudi/
Office hours
See the website of Ignazio Drudi