Laura Vici

Teaching

Empirical Methods in Tourism Economics

LEARNING OUTCOMES

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 in a tourism destination from an empirical point of view
  • Collection of data
  • The use of STATA with tourism data
  • PCA and factor analysis
  • Cluster analysis applied to tourism
  • Examples of empirical methods in the literature

CLASS SCHEDULE

(19/09/2022 – 28/10/2022)

Monday                12.00 pm – 3.00 pm   –   Alberti 6

Wednesday          3.00 pm – 6.00 pm   –    Alberti 6

 

TEACHING MATERIAL 

LECTURES

  • Introduction
  • Lecture 1  –  19 September 2022 –  Alberti 6 –> notes + do + log
  • Lecture 2  –  21 September 2022 – Alberti 6   –> notes + do + log
  • Lecture 3  –  28 September 2022 – Green lab   –> notes + do + log
  • Lecture 4  –  30 September 2022 – Angherà 2   –> notes + do + log
  • Lecture 5  –  3 October 2022- Green lab    –>  notes + do + log
  • Lecture 6  –  5 October 2022 – Green lab   –> notes + do + log +dta
  • Lecture 7   – 10 October 2022 – Green lab  –> notes + do + log
  • Lecture 8   – 12 October 2022 – Green lab –> notes + do + log
  • Lecture 9   – 17 October 2022 – Green lab  –> notes + do
  • Lecture 10 – 19 October 2022 – Green lab –> notes + do

STATA LAB  –>  STATA notes

 Datasets:

 

Exercises:

Try to answer these questions:

  

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

EXAM

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 and Management.

The mark is out of 30 points. The minimum required to pass the exam is 18/30.

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 the reception of the request within the same date.

NB: During emergency periods, the exam method might change. It will be communicated on time.

 

TEXTBOOKS

–      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: