28237 - Economic Statistics (Advanced Course)

Academic Year 2012/2013

  • Docente: Ignazio Drudi
  • Credits: 10
  • SSD: SECS-S/03
  • Language: Italian
  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in STATISTICS, ECONOMICS AND BUSINESS (cod. 8056)

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- Statistical 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 ignazio.drudi@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

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


Links to further information

http://www2.stat.unibo.it/drudi/

Office hours

See the website of Ignazio Drudi