B1752 - DATA ANALYSIS IN TOURISM

Anno Accademico 2024/2025

  • Docente: Laura Vici
  • Crediti formativi: 6
  • SSD: SECS-P/06
  • Lingua di insegnamento: Inglese
  • Modalità didattica: Convenzionale - Lezioni in presenza
  • Campus: Rimini
  • Corso: Laurea Magistrale in Tourism Economics and Management (cod. 5910)

Conoscenze e abilità da conseguire

The aim of the course is to introduce students to various models to analyze tourism data, included some econometric techniques, both from micro and macroeconomic perspectives. 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.

Contenuti

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

Testi/Bibliografia

Mazzocchi M., 2008, Statistics for Marketing & Consumer Research. SAGE Publications

Additional teaching materials will be available on the website https://lauravici.com.

Metodi didattici

Lectures, seminars and lab work.

Modalità di verifica e valutazione dell'apprendimento

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.

Strumenti a supporto della didattica

The laboratory uses bibliographic sources, databases and software to analyse data.

Orario di ricevimento

Consulta il sito web di Laura Vici