Course Details

Econometrics

GS0701

Course
Econometrics
Code
GS0701
Academic Year
2023/2024
Curriculum Year
2022/2023
Degree Programme
ECONOMICS, MANAGEMENT AND ISTITUTIONS
Curriculum
426 - ECONOMIA
Course coordinator
-
Credits
9
Lecture Hours
60
Scientific Disciplinary Sector (SSD)
SECS-P/05 - Econometrics
Course Type
Single-subject learning activity
Course Delivery
OPZ - Opzionale
Year
2
Teaching period
Secondo Semestre
Campus
ALESSANDRIA
Teaching language
English
Course Contents
The course will cover the following topics:

- introduction to Econometrics
- survey design;
- ordinary least square models
- binary choice models and models for categorical data;
- anchoring vignettes and hierarchical models;
- count data regression;
- models and methods for panel data
- instrumental variable estimation
Reference Texts
Colin Cameron, Pravin Trivedi, Microeconometrics using STATA, STATA Press, 2009.

Jeffrey M. Wooldridge, Introductory Econometrics: A Modern Approach (5th Edition), Cengage Learning, 2012.

Andrew M. Jones, Nigel Rice, Teresa Bago d'Uva, Silvia Balia; Applied Health Economics (2nd Edition); Taylor & Francis Ltd, 2012.
Learning Outcomes
The course provides students with an understanding of the most relevant micro-econometric techniques.
The emphasis of the course is on applied work and on the illustration of the use of relevant computer software (STATA).
Prerequisites
Statistics (probability and inference)
Teaching Methods
The course is computer based. Relevant methods are presented alongside the Stata code and empirical results are discusses in class.
Assessment Methods
Take home essay
Expected Learning Outcomes
By the end of the course, participants should be able to:
• formulate empirical problems involving micro-data
• select appropriate econometric methods
• understand methods of estimation and be able to implement them, using appropriate software
• construct usable datasets and know the limitations of the data
• interpret the results of the analysis
Last update:09-09-2026 00:14:31