Academic Year 2019/2020
- Docente: Davide Raggi
- Credits: 6
- SSD: SECS-P/05
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
-
Corso:
Second cycle degree programme (LM) in
Economics and Economic Policy (cod. 8420)
Also valid for Second cycle degree programme (LM) in Health Economics and Management (cod. 8880)
Learning outcomes
At the end of the course the student has adequate knowledge of the basic instrument used by economists for their empirical investigations (the linear regression model for the analysis of cross-sectional and panel data) and is able to understand under what conditions the estimated relationship has a causal interpretation. Drawing on critical discussion about some micro-economic applications from recent research, the student receives specific data to practice at the computer and learn the basic skills to perform empirical work using the software STATA. At the end of the course he/she is capable to understand scientific articles using the linear regression model and is also able to perform its own analysis with this instrument.
Course contents
- Introduction to econometric methods and
data
- Simple Regression
Model
- Multiple regression
model
- Homoskedasticity vs.
Heteroskedasticity
- A primer on Instrumental variables methods
- Practical econometrics (STATA)
Readings/Bibliography
Jeffrey M. Wooldridge, Introductory Econometrics: A Modern Approach 4th Ed.
Teaching methods
For each topic we will first introduce the relevant theory, and then move as soon as possible to its empirical application. Special emphasis will be placed on the economic interpretation of the results.
Assessment methods
Written exam (at the pc lab) and problem sets
Teaching tools
Some lectures will be given through the aid of software tools. We will discuss several empirical analysis using the econometric software STATA.
Links to further information
Office hours
See the website of Davide Raggi