- Docente: Marco Magnani
- Credits: 6
- SSD: SECS-P/05
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Law and Economics (cod. 9221)
Learning outcomes
The student will learn the fundamentals of the classical linear multiple regression model.
In particular, the student:
- will be able to critically understand and discuss the empirical applications of the regression methods;
- will be able to perform empirical analysis using the software STATA.
Course contents
- What is econometrics? Introduction to the subject with case studies and practical examples.
- The linear regression model: the Ordinary Least Squares Estimator and goodness-of-fit measures.
- Hypothesis testing and confidence intervals.
- Omitted variable bias.
- Binary regressors in linear regression models.
- The multiple linear regression model.
- Non linear regression models: polynomials, logarithmic transformations and interaction between variables.
- Advanced topic: panel data.
Every theoretical concept will be followed by an empirical application based on real-world data.
Readings/Bibliography
Stock, J.H., Watson, M.W. "Introduzione all'econometria", 4a edizione (2016), Pearson Education Italia.
Further material will be communicated and/or distributed in class.
Teaching methods
Traditional lecture-style instruction with debate over real-world practice examples. For each theoretical concept, an empirical application will be illustrated.
Computer-based review sessions complete the teaching by providing useful tools which will allow students to interpret and discuss empirical results.
Assessment methods
Student evaluation is based on:
- problem set: take-home exam using the STATA software that students can solve in groups with at most 4 people (1 week);
- written exam: due questions about theory, three questions about an empirical application and one question based on a case study the student can freely choose among those provided by the professor (2 hours).
The software STATA is available on university's computers.
Those students who decide to NOT ATTEND classes must inform the professor before the class starts.
Teaching tools
- Slides available at: https://sites.google.com/site/marcobmagnani;
- Stata software, available on computers at the lab, Department of Economics.
Links to further information
https://sites.google.com/site/marcobmagnani
Office hours
See the website of Marco Magnani