- Docente: Denni Tommasi
- Credits: 6
- SSD: SECS-P/05
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Applied Economics and Markets (cod. 5969)
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from Nov 11, 2024 to Dec 12, 2024
Learning outcomes
At the end of the course the student has acquired knowledge of the core micro-econometric models and methods designed to study the behaviour of economic agents using cross-section and panel data, including static panel data models, instrumental variable methods, and the most widely used limited dependent variable modes. In particular, he/she is able: - to critically understand the applications of these models in the recent empirical economic literature; - to apply the models and perform his/her own analysis of economic datasets using the software STATA.
Course contents
- Ordinary Least Squares (OLS) estimator in matrix form
- Finite Sample properties of OLS estimator
- Finite Sample inference
- OLS asymptotics and large sample inference
- Non spherical variance
- Instrumental Variables (IV)
Readings/Bibliography
William H. Greene, Econometric Analysis, 8th Edition, 2018.
Jeff M. Wooldridge: Econometric Analysis of Cross Section and Panel Data, 2nd Edition, 2010.
Jeff M. Wooldridge: Introductory Econometrics. A Modern Approach, 7th Edition, 2019.
Teaching methods
For each topic we will first introduce the relevant theory, and then move to its empirical application and simulations.
Assessment methods
Written exam, problem sets and in-class participation.
Teaching tools
We will discuss several empirical examples and we will run simulations using the econometric software STATA.
Office hours
See the website of Denni Tommasi