- Docente: Laura Vici
- Credits: 6
- SSD: SECS-P/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Rimini
- Corso: Second cycle degree programme (LM) in Tourism Economics and Management (cod. 5910)
-
from Sep 18, 2023 to Oct 19, 2023
Learning outcomes
The aim of the course is to introduce students to various econometric techniques for tourism, both in micro and macroeconomic context. The course is applied in nature. At the end, the student is able to: i) formulate tourism-related economic problems in a way that allows application to empirical data; ii) identify the appropriate econometric technique for the problem at hand; iii) perform econometric analysis using software packages; iv) understand and interpret results both statistically and economically.
Course contents
The tourism demand of a tourism destination from an empirical point of view
Collection of data
The use of STATA with tourist data
PCA and factor analysis
Cluster analysis applied to tourism
Examples of empirical methods in the literature
Readings/Bibliography
Mazzocchi M., 2008, Statistics for Marketing & Consumer Research. SAGE Publications
Additional teaching materials will be available on the website https://lauravici.com.
Teaching methods
Lectures, seminars and lab work.
Assessment methods
Assessment is based on a written exam in lab.
The exam is composed of a written test covering the theoretical and empirical issues discussed during the lectures.
It is not possible to bring books, personal notes or electronic devices (included smart watch) during the exam.
Registration for the exam is compulsory, and students have to register through AlmaEsami according to the general rules of the School of Economics, Management and Statistics.
The mark is out of 30 points. The grade is graduated as follows:
<18 failed
18-23 sufficient
24-27 good
28-30 very good
30 e lode excellent
Grade rejection. Students can reject the grade obtained at the exam once. To this end, he/she must email a request to the teacher within the date set for registration. The teacher will confirm reception of the request within the same date.
Teaching tools
The laboratory uses bibliographic sources, databases and software to analyse data.
Office hours
See the website of Laura Vici