Course Details

METODI STATISTICI PER LE ANALISI ECONOMICHE

GS1139

Course
METODI STATISTICI PER LE ANALISI ECONOMICHE
Code
GS1139
Academic Year
2026/2027
Curriculum Year
2024/2025
Degree Programme
POLITICAL AND ADMINISTRATIVE SCIENCES
Curriculum
A020 - Economico-amministrativo
Course coordinator
Lecturers
Credits
5
Lecture Hours
50
Scientific Disciplinary Sector (SSD)
SECS-S/03 - Statistics for Economics
Course Type
Single-subject learning activity
Course Delivery
OBB - Obbligatoria
Year
3
Teaching period
Secondo Semestre
Campus
ALESSANDRIA
Teaching language
Italian
Course Contents
1. Indices for temporal and territorial comparisons
2. Concentration of transferable phenomena
3. The shift-share analysis
4. Cluster Analysis
Reference Texts
Lecture notes downloadable from the Moodle platform
Learning Outcomes
Students will learn to:
- compare economic phenomena over time and space (across countries and regions);
- group units in a sample based on observed characteristics.
Prerequisites
Basic statistics
Teaching Methods
Theoretical and applied lessons.
Recommended attendance
Additional Information
Students with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff "Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti", consulting the University webpage: https://www.uniupo.it/en/services/servicesstudents-physical-or-learning-disabilities Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects. 
Assessment Methods
Written exercises on case studies
Detailed Syllabus
1. Indices for Temporal and Territorial Comparisons a. Simple Temporal Indices b. Average and Indirect Indices c. Inflation Separation d. Nominal Exchange Rates e. Real Exchange Rates f. Purchasing Power Parities (PPP) and Comparative Price Levels (CPL)2. Concentration of Transferable Phenomena a. Lorenz Curve and Concentration Area b. Gini Index c. Industrial Concentration Indices3. Shift-Share Analysis4. Cluster Analysis a. Hierarchical and Direct Methods b. Evaluation of the Segmentation Obtained
Expected Learning Outcomes
Ability to analyze economic data using indices and segment them into homogeneous groups
Last update:09-09-2026 00:14:31