- Docente: Alice Guerra
- Credits: 8
- SSD: ECON-05/A
- Language: English
- Teaching Mode: In-person learning (entirely or partially)
- Campus: Rimini
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Corso:
First cycle degree programme (L) in
Economics of Tourism and Cities (cod. 6054)
Also valid for First cycle degree programme (L) in Economics of Tourism and Cities (cod. 6054)
Learning outcomes
This undergraduate course introduces students to econometric methods, with a specific focus on spatial econometrics. Successful students will be able to use the linear regression model and the basic techniques of cross-section analysis, then perform simple econometric analysis using available software packages. They will learn to interpret results from both statistical and economic viewpoints, developing a fundamental understanding of statistical techniques for spatial data analysis and exploring the spatial dimensions of economic phenomena. By the end of the course, students will possess skills to model spatial relationships, interpret patterns, and conduct empirical analyses accounting for spatial dependencies.
Course contents
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)
LPM, Logit, Probit (slides + Chapter 17 Wooldridge)
Panel data (slides + Chapter 13 Wooldridge)
Collection of tourist data and the use of STATA (slides + STATA exercises)
Examples of empirical methods in the field of tourism economics and related STATA exercises
Readings/Bibliography
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 available on Virtuale.
Teaching methods
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.
Assessment methods
Take-home, individual assignment.
Max. 10 pages (max 10 pages all included, Times New Roman, 12pt font size)
Duration: one week
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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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The partial exams have the same format as the general exam. They are optional but highly recommended.
Students must pass both partial exams in order to pass the exam. If students do not sit for one of the partial exams they must take the general exam.
Students can register for the 2nd partial exam only if they have passed the 1st partial exam.
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A positive final mark can be refused. Refusal of the grade has to be communicated via email within one day from the grade communication.
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Students must enroll in Almaesami.
The take-home assignment will be available on EOL (Esami Online – Online Exams)
Students will have to upload on EOL two separate files by the indicated deadline: (1) the Word/PDF file (max 10 pages all included, Times New Roman, 12pt font size); (2) the Stata do-file.
Written products received after the deadline will not be graded.
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The maximum possible score is 30 cum laude (e lode), in case all anwers are correct, complete and formally rigorous.
The grade is graduated as follows:
<18 failed
18-23 sufficient
24-27 good
28-30 very good
30 e lode excellent
Teaching tools
Virtuale platform, with lectures' slides and suggested readings.
Software STATA, bibliographic sources, and databases available on Virtuale and at the Campus Computer Lab.
MOOCs:
https://book.unibo.it/courses/course-v1:UNIBO+DEH02+aa_24-25/about
https://book.unibo.it/courses/course-v1:UNIBO+DEH20+aa_24-25/about
Office hours
See the website of Alice Guerra