Academic Year 2019/2020

  • Docente: Davide Raggi
  • Credits: 6
  • SSD: SECS-P/05
  • Language: English

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 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 GRETL. 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
- Practical econometrics (STATA)

Readings/Bibliography

R. C. Hill, W. E. Griffiths and G. C. Lim, "Principles of Econometrics", 4th edition, New York: John Wiley and Sons

Teaching methods

Each topic will be introduced from a theoretical point of view first. Then empirical applications will be presented with special emphasis on economic interpretations.


Assessment methods

Written exam at the pc lab

Teaching tools

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.

Links to further information

https://iol.unibo.it/

Office hours

See the website of Davide Raggi

See the website of Maria Elena Bontempi