TOURISM DEMAND ANALYSIS

The course supplies the basic statistical tools to know the nature and the structure of touristic demand with special attention to the seasonal component.
The theoretical approach will be accompanied with applied activities in order to learn the use of adequate statistical tools (sotware R or GRETL).

1. Knowledge and understanding
1.1 Ability to use statistical tools for the analysis of economic phenomena;
1.2 Ability to develop an overview of quantitative issues relevant to understanding economic dynamics.

2. Applying knowledge and understanding
2.1 Ability to interpret and represent the main economic phenomena related to market and tourism businesses;
2.2 Ability to select, estimate and verify multiple regression models.


3. Making judgements:
3.1 Ability to propose and comment different methods of forecasting tourist flows;
3.2 Ability to discuss the results obtained from the study of business cases.

Statistics.
Knowledge of descriptive and inferential statistical techniques.

1. The classical approach to time series analysis
2. Multiple regression analysis
3. Trend-Cycle component: parametric and non parametric approach
4. Seasonal component: parametric and non parametric approach
5. Moving Average Approach
6. Number Index

Newbold, P, Carlson, W., and Thorne B. 2013 Statistics for Business and Economics, Pearson

written and oral. The exam is closed-notes and closed-book.

Lectures and practice sessions, discussion of empirical cases.

Italian

Accessibility, Disability and Inclusion

Accommodation and support services for students with disabilities and students with specific learning impairments


Ca’ Foscari abides by Italian Law (Law 17/1999; Law 170/2010) regarding support

services and accommodation available to students with disabilities. This includes students with

mobility, visual, hearing and other disabilities (Law 17/1999), and specific learning impairments (Law 170/2010). If you have a disability or impairment that requires accommodations (i.e., alternate testing, readers, note takers or interpreters) please contact the Disability and Accessibility Offices in Student Services: disabilita@unive.it.

written and oral