- Docente: Guglielmo Barone
- Crediti formativi: 6
- SSD: SECS-P/05
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Economics and Public Policy (cod. 5945)
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dal 19/02/2025 al 13/03/2025
Conoscenze e abilità da conseguire
The course illustrates the most recent identification strategies for the quantitative assessment of causal effects using observational data by referring to micro-econometric applications. It will cover matching and difference-in-differences strategies, and quasi-experimental approaches to identification. At the end of the class, student will be able: - to critically understand the application of these tools in the recent empirical economic literature; - to apply these approaches to design his/her own program evaluation.
Contenuti
The problem of causality
Causality in a regression framework
Instrumental variables
Panel data, difference-in-differences, synthetic control method
Regression discontinuity design
Prerequisites: very good knowledge of the standard (OLS) multiple regression model, basic knowledge of panel data, and knowledge of Stata
Testi/Bibliografia
Lecture notes and papers at the Virtuale online platform
S. Cunningham, Causal Inference: The Mixtape
Metodi didattici
Frontal lectures, paper presentations, Stata programming
Modalità di verifica e valutazione dell'apprendimento
Teamwork: drafting an presenting an original small-scale paper, or replicating an existing paper plus a short oral exam. Alternatively: long oral exam. The maximum possible score is 30 cum laude. The grade is graduated as follows:
<18 failed
18-23 sufficient
24-27 good
28-30 very good
30 cum laude excellent
Strumenti a supporto della didattica
Slides, textbook, Stata software
Orario di ricevimento
Consulta il sito web di Guglielmo Barone
SDGs
L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.