Teaching code

4S00522

Teacher

Coordinatore

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

primo semestre (lauree magistrali) dal Oct 4, 2021 al Dec 17, 2021.

Lessons timetable Moodle Seminars

Learning outcomes

During the course, the main sources of official data will be studied and the main sampling techniques analyzed. The linear regression model will be introduced as one of the main statistical tools to examine survey data and for sales forecasting. Students will be provided with the cutting-edge statistical theory of sampling and linear regression model. These tools will then be applied to carry out market researches.

Program

Data sources and statistical information for business:
- primary and secondary data
- internal and external sources of data
- probabilistic sampling for market survey

Economic and business indicators:
- simple and composite index numbers
- nominal and real change of economic variables
- transition matrices and career transition measures

Time series analysis and forecasting:
- smoothing techniques: moving averages and exponential smoothing
- structural decomposition of economic time series

Introduction to statistical quality control:
- process capability ratios
- control charts for variables

Multivariate statistical analysis for business data and company business performances:
- simple linear regression models
- multiple linear regression models
- logistic regression models
- principal components analysis

Statistical learning for business:
- goodness of fit and cross-validation of statistical models
- classification and regression trees
- introduction to cluster analysis

Lecture slides and other learning materials are available on the e-learning website.

Bibliography

Examination Methods

The assessment of learning outcomes consists in a written examination.


Examination purposes
The written examination assesses the level of knowledge of the course topics, the ability to apply statistical methods for business and the interpretation of results.


Structure of the examination
The examination consists of single and multiple choice questions, questions which requires a numerical response, and open-ended questions. All kinds of questions may be focussed on theoretical and methodological issues, may consist in exercises, or may require the student to discuss and analyse some practical problem using notions and tools learned throughout the course.

The teacher may require students to take an oral examination which completes the evaluation of the acquired knowledge. The final grade may be equal, higher or lower than the grade got on the written part of the exam.


Assessment criteria
The examination score is on a 30-point scale (passing mark: 18).