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Learning Objectives

LEARNING OUTCOMES: The course provides econometric tools for the analysis of microeconomic and longitudinal data. Graduates acquire qualified methodological and professional skills in applied economics.

KNOWLEDGE AND UNDERSTANDING: The objective is to learn the main statistical and econometric approaches in order to analyse the main economic problems, to strengthen and extend the basic knowledge gained in the compulsory courses and to draw up and/or apply ideas, even in a research context.

APPLYING KNOWLEDGE AND UNDERSTANDING: the students will apply estimation techniques using microdata applied to different contexts from business, education, and labor. For example, students will be able to predict the sales of a product or to test if a new ad campaign is actually increasing the product sales. The course also aims at developing microdata analysis skills useful for the preparation of research projects. The students will develop skills in the use of the following software: Stata.

MAKING JUDGEMENTS: The course aims at developing micro-data analysis skills useful for the preparation of research projects.

COMMUNICATION SKILLS: Students will learn how to present facts and analyze data and economic problems in a rigorous way and present them to specialist and non-specialist audience.

LEARNING SKILLS: At the end of the course the students will be able to use microeconomic datasets and use micro-econometric techniques to interpret the main economic problems in the light of the existing economic theories. The students are expected to extend the application of these research techniques to develop research projects and ideas on their own.


econometrics (undergraduate level), statistics (undergraduate level).


Ordinary Least Squares
Maximum Likelihood estimation
Binary dependent Variables
Unordered dependent Variables
Ordered dependent Variables
Panel Data


Materials related to lectures and the reading list will be provided on the course web page and the relevant Stata code will be shared with the students:


Software: Stata.

Additional Lectures Notes will be provided during the course.


R. C. Hill, W. E. Griffiths, G. C. Lim, "Principles of Econometrics" (4th edition, International Student Version), Wiley 2011 (English).

-Hill, R. C., Griffiths, W. E., & Lim, G. C. (2018) Using Stata for Principles of Econometrics, 5th edition, John Wiley & Sons.

The slides used during classes, sketches of training sessions, exercise solutions, and mock exams will be made availablle. Students will be asked to register to this platform at the start of the classes.

Teaching methods

Classroom Lectures;
Laboratory sessions, Exercises/workouts
Workshops and students discussions on specific projects works individually assigned
Lessons focused on problem-solving
Searching of additional dedicated materials in the library and on-line
Analysis of referred readings and textbooks
Suggested articles and readings

Exam Rules

Discussions and interactive participation to the lectures during the course

The exam is written and it lasts 1 hour. It is composed by two different sections.
The first section is theoretical, and it consists of 5 multiple choice questions. The second is both empirical and theoretical, and it consists of 11 questions whose answers should be computed using Stata. Each answer is valid 2 points max;

Assessment in the final examination of the student's ability for critical analysis and to interpret empirical results.