Course Details

Data mining

GS0492

Course
Data mining
Code
GS0492
Academic Year
2023/2024
Curriculum Year
2021/2022
Degree Programme
ECONOMIC, POLITICAL AND SOCIAL SCIENCES
Curriculum
A10 - Scienze economiche e politiche europee
Course coordinator
-
Lecturers
Credits
6
Lecture Hours
30
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. Data mining from open databases of OECD and ISTAT
Reference Texts
P. Chirico: Indici statistici per analisi economiche e sociali, Giappichelli 2016
Notes in DIR
Learning Outcomes
Students will have to:
- to be able to compare economic phenomena over time and space (between countries and regions);
- to learn how to download data from the main public databases of the main Italian and international institutions.
Prerequisites
Basic matematics
Teaching Methods
Theoretical and applied lessons.
Recommended attendance
Assessment Methods
Written exercises on case studies
Detailed Syllabus
1. Indices for temporal and territorial comparisons
a. Simple time indices
b. Average and indirect indices
c. Unbundling of inflation
d. Nominal exchange rates
is. Real exchange rates
f. Purchasing Power Parity (PPP) and Comparative Price Levels (CPL)

2. Concentration of transferable phenomena
a. Lorenz curve and Concentration Area
b. Gini index
c. Industrial Concentration Indices

3. The shift-share analysis
4. Data mining from public databases
a. The ISTAT database
b. The OECD database
Expected Learning Outcomes
Ability to obtain public data and to analyze them for temporal and spatial comparisons
Last update:09-09-2026 00:14:31