MODELS FOR TOURISM FLOWS
Channel 1
LEA PETRELLA
Lecturers' profile
Program - Frequency - Exams
Course program
Basic Statistics Review with Application to Tourist Flow Data
1. Main Synthetic Indices
2. Graphical Analysis of Tourist Flows
3. Tourism Variables
From Sample to Population: Simple Concepts of Statistical Inference
1. Concept of Sample from Population
2. Inference on Means and Variance
3. Confidence Intervals
4. Hypothesis Testing
Models of Dependence between Variables
1. Measure of Dependence between Tourism Characteristics
2. Concepts of Cause and Effect
3. Indices of Linear and Nonlinear Dependence
4. Regression Models
Outline of Time Series Concepts in Tourism
1. Temporal Analysis of Tourist Flows
2. Seasonal Trend Components
3. Graphical Analysis of Time Series
4. Simple Time Series Models
The course will be based on empirical applications to real data on Italian and foreign tourism. All lessons will be supported by the use of R software, which will be taught during the course, starting with the basic concepts.
At the end of the course, students, divided into working groups, will have to develop and present a project based on real data relating to national and international tourism.
Prerequisites
no prerequisite
Books
Teaching materials will be provided in the form of handout and /or slides
Exam mode
At the end of the course, students, divided into working groups, will have to develop and present a project based on real data relating to national and international tourism.
Lesson mode
The lessons will be held in person in the classroom and computer lab.
- Lesson code10620468
- Academic year2025/2026
- CourseEconomics for Environment, culture and tourism
- CurriculumEconomia dell’ambiente, della cultura e del turismo (Percorso valido ai fini del conseguimento del doppio titolo italo-albanese)
- Year1st year
- Semester2nd semester
- SSDSECS-S/01
- CFU9