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Econometrics
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Econometrics
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Academic year 2023/2024
- Course ID
- MAT0045
- Teachers
- Marina Di Giacomo
Luca Gambetti
Margherita Borella
Giuseppe Reale - Year
- 2nd year
- Teaching period
- First semester
- Type
- D.M. 270 TAF C - Related or integrative
- Credits/Recognition
- 6
- Course disciplinary sector (SSD)
- SECS-P/05 - econometrics
- Delivery
- Blended
- Language
- English
- Attendance
- Optional
- Type of examination
- Written
- Borrowed from
- ECONOMETRICS-MOD. ESTIMATION METHODS AND APPLICATIONS (SEM0186A)Two - Year Master Degree in Economics
- ECONOMETRICS-MOD. ESTIMATION METHODS AND APPLICATIONS (SEM0186A)
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Sommario del corso
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Course objectives
The main purpose of this course is to give a general and comprehensive overview of the different econometric methodogies and approaches, focusing on what is relevant for doing and understanding empirical work on large data-bases. The number of econometric techniques that can be used is numerous and their validity often depends crucially upon the validity of the underlying assumption. This course attempts to guide students through this array of estimation and testing procedures by also offering several computer-lab sessions where students will face real world empirical cases.
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Results of learning outcomes
Knowledge and understanding: this course will provide students with a deep and up-to-date knowledge of modern econometric theories and related estimation and testing techniques.
- Applying knowledge and understanding: students will learn how to apply econometrics techniques to actual economic problems. To this aim students will be introduced to a professional econometric software which will be used for the computations presented in this course.
- Making judgements: the students will learn how to assess the validity of the assumptions of a wide range of econometric models with the purpose of realizing potential drawbacks or dangers in their application to relevant empirical economic questions.
- Communication skills: students will learn how to effectively organize ideas both in written and oral form, possibly with the help of presentation of scientific papers during the course.
- Learning skills: this course will enable students to understand the recent developments in econometrics and will be a suitable basis for further research work in the area.- Oggetto:
Program
- The Classical Linear Regression Model and Its Violations
- Endogeneity, Instrumental Variables and GMM
- MaximumLikelihood Estimation and Specification Tests
- Models with Limited Dependent Variables
- Panel data
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Course delivery
The course consists of 48 lecture hours. Strong interaction between teachers and students is warmly encouraged.
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Learning assessment methods
1 h. and 15 m. (max.) written exam at the end of the course. The exam paper is made up of three questions. Specific quantitative scores are allocated to each question and communicated to students before the exam. Scores sum up to 30/30.
Suggested readings and bibliography
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The course is mostly based on Verbeek's A Guide to Modern Econometrics (any edition).
Handouts, references and suggested readings will be circulated when classes start.
All teaching materials will be available on the Moodle page of the course.
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Notes
This course will be delivered at the ESOMAS Department.
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Class schedule
- Enroll
- Open
- Enrollment opening date
- 01/09/2021 at 00:00
- Enrollment closing date
- 15/06/2024 at 00:00
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