B2202 - ECONOMETRICS FOR INDIVIDUAL DATA

Anno Accademico 2024/2025

  • Docente: Denni Tommasi
  • Crediti formativi: 6
  • SSD: SECS-P/05
  • Lingua di insegnamento: Inglese
  • Modalità didattica: Convenzionale - Lezioni in presenza
  • Campus: Bologna
  • Corso: Laurea Magistrale in Applied Economics and Markets (cod. 5969)

Conoscenze e abilità da conseguire

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.

Contenuti

- 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)

Testi/Bibliografia

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.

Metodi didattici

For each topic we will first introduce the relevant theory, and then move to its empirical application and simulations.

Modalità di verifica e valutazione dell'apprendimento

Written exam, problem sets and in-class participation.

Strumenti a supporto della didattica

We will discuss several empirical examples and we will run simulations using the econometric software STATA.

Orario di ricevimento

Consulta il sito web di Denni Tommasi