Laura Vici


Empirical Methods in Tourism Economics


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


CLASS SCHEDULE (19/09/2019 – 30/10/2019)

Monday         9.00 am – 12.00 pm – Red Lab

Thursday       3.00 – 6.00 pm   –  Green Lab




  • Introduction
  • Lecture 1  –  19 September 2019 – Red Lab –> notes
  • Lecture 2  –  23 September 2019 – Red Lab   –> notes + do + log
  • Lecture 3  –  26 September 2019 – Red Lab   –> student list + dataset
  • Lecture 4  –  30 September 2019 – Red Lab    –>  notes + do + log
  • Lecture 5  –  3 October 2018 – Red Lab    –> notes + do + log
  • Lecture 6  –  7 October 2018 – Red Lab    –> notes + do + log
  • Lecture 7   – 10 October 2018 – Red Lab  –> notes + do + log
  • Lecture 8   – 17 October 2018 – Red Lab  –> notes + do + log
  • Lecture 9   – 21 October 2018 – Red Lab  –> notes + do + log + slides
  • Lecture 10 – 24/28 October 2018 – Red Lab  –> slides + do +log

STATA LAB  –>  STATA notes




  • Students who delivered homework (17 October 2017)

Attention:  read always (and pay attention to) last minutes notices in the dedicated text box


The exam is composed of a written test (80% of the final mark), covering the theoretical and empirical issues discussed during the lectures, and a practical test (20% of the final mark).

For attending students, the practical test requires that the student collects some data about a particular issue related to predetermined tourism destinations (agreed with the teacher). The data collected must be delivered the date communicated during the lectures.

For non-attending students, the practical test does not require  to collect data. As attending students, even non-attending students must study what has been explained in class (download teaching material available on this website). Moreover, they have to write an essay (max 10 pages) on a topic decided by the teacher. This essay must be a survey of the (scientific) literature on the topic.

       The Practical test cannot be repeated. Students cannot reject the practical test mark.

It is not possible to bring books, personal notes or electronic devices in 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, and the minimum required to pass the exam is 18 / 30.


–      Mazzocchi, Mario. Statistics for marketing and consumer research. Sage, 2008

–       Additional teaching materials will be available on this website.

Additional Resources:

–      Candela G. and Figini P, 2012, The economics of Tourism Destinations, Springer

–        Baum C.F., An Introduction to Modern Econometrics, Stata Press, 2006

–        Vanhove N., 2011, The Economics of Tourism Destinations, New York, NY: Routledge.

–      Dwyer L., Forsyth P., Dwyer W., 2011, The Economics of Tourism Destinations, Bristol, UK: Channel New Publications.

For attending students:

  • list of attending students 2019-2020
  • datasets for students (excel file with legenda)
  • international setting (how to change decimal/thousand separators)