94408 - EMPIRICAL METHODS FOR TOURISM

Anno Accademico 2020/2021

  • Docente: Alice Guerra
  • Crediti formativi: 4
  • SSD: SECS-P/02
  • Lingua di insegnamento: Inglese
  • Modalità didattica: Convenzionale - Lezioni in presenza
  • Campus: Rimini
  • Corso: Laurea in Economia del turismo (cod. 8847)

    Valido anche per Laurea in Economia del turismo (cod. 8847)

Contenuti

The Nature of Econometrics and Economic Data (slides + Chapter 1 Wooldridge)

The simple regression model (slides + Part 1 Wooldridge)

Multiple Regression Analysis (slides + Part 1 Wooldridge)

[Introduction to LPM, Logit, Probit (slides + Chapter 17 Wooldridge)]

Collection of tourist data and the use of STATA (slides + Stata exercises on Insegnamenti Online)

Examples of empirical methods in the field of tourism economics (Stata exercises on Insegnamenti Online)

Testi/Bibliografia

Mandatory: Slides and other teaching materials made available on a weekly basis.

MAIN TEXTBOOK

Jeff M. Wooldridge: Introductory Econometrics. A Modern Approach, 6th Edition, South-Western, 2018

OTHER SUGGESTED TEXTBOOKS

Studenmund, AH. (2017). Using Econometrics: A Practical Guide, Global Edition. Pearson.

Angrist, J. D. & Pischke, J-S. (2014): Mastering ‘Metrics: The Path from Cause to Effect. Princeton, NJ: Princeton University Press.

SUGGESTED READINGS

Academic articles for suggested readings available on Insegnamenti online (IOL).

Metodi didattici

The course consists of a combination of theory and practical applications using the software STATA, as well as critical discussions of selected empirical research on tourism economics.

Modalità di verifica e valutazione dell'apprendimento

Examination form: Home assignment - written product

Individual or group exam: Individual exam

Size of written product: Max. 10 pages (including figures and tables)

Assignment type: Written assignment

Duration: three days

Students must enroll in Almaesami.

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The exam consists of both theoretical questions and empirical/practical questions whose answers should be computed using the software STATA.

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A positive final mark can only be refused once. Refusal of the grade has to be communicated via email within one day from the grade communication.

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The text of the exam will be posted on IOL (Insegnamenti OnLine), in Section "Exam".

Students will have to submit their written product within the deadline via email to alice.guerra3@unibo.it.

Witten products received after the deadline will not be graded.

The written product has to be submitted in PDF format. Students are required to submit their Stata do-file as an appendix (does not count towards the 10 pages).

Strumenti a supporto della didattica

Course website, with lectures' slides and suggested readings.

Software STATA, bibliographic sources, and databases available at the Computer Lab.

Orario di ricevimento

Consulta il sito web di Alice Guerra