B2202 - ECONOMETRICS FOR INDIVIDUAL DATA

Anno Accademico 2023/2024

  • 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)

    Valido anche per Laurea Magistrale in Economics and Public Policy (cod. 5945)

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

- Introduction to econometric methods, data and STATA

- Simple and multiple regression models (advanced)

- A variety of data issues

- Pooled cross section and panel data models

- Binary choice models

Testi/Bibliografia

Jeffrey M. Wooldridge, Introductory Econometrics: A Modern Approach (latest edition available).

Metodi didattici

For each topic we will first introduce the relevant theory, and then move to its empirical application. Special emphasis will be placed on the economic interpretation of the results.

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 analysis using the econometric software STATA.

Orario di ricevimento

Consulta il sito web di Denni Tommasi