- 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 Economics and Public Policy (cod. 5945)
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dal 16/09/2024 al 17/10/2024
Conoscenze e abilità da conseguire
We will build the statistical foundations for field experiments from the ground up. We will discuss the logic of randomized control trials (RCTs) conducted in real-world settings, their strengths and weaknesses compared to other methodologies, and the ways in which experimentation has been, and could be, used to investigate social phenomena. Students will learn how to interpret, design, and execute experiments.
Contenuti
The course is targeted to advanced graduate students interested in understanding policy evaluations (i.e., public, health, labour, or development policies).
The course is divided as follows:
Week 1: motivating examples of field experiments, potential outcomes framework, assumptions; ATEs, ITTs, LATEs; sampling distributions and randomization inference.
Week 2: blocking and covariate adjustment; balance checks; field experiments with one-sided noncompliance (failure-to-treat); field experiments with two-sided noncompliance (encouragement designs)
Week 3: peer effects; cluster designs; phase-in designs; determining optimal sample size; power calculations.
Week 4: sample attrition, interference between experimental units; heterogeneous treatment effects; mediation and causal mechanisms.
Week 5: Field experiments from A to Z: case studies and student presentations of the outline of the take home project, receiving feedback.
Testi/Bibliografia
Gerber and Green (2012), “Field Experiments: Design, Analysis and Interpretation”.
Metodi didattici
For each topic, we will first introduce the relevant statistical and econometric theory, and then move to Stata codes, examples and applications.
Modalità di verifica e valutazione dell'apprendimento
Problem sets (20%): students will apply the concepts learnt in class through a set of applications using Stata.
Take home exam (80%): students will design a field experiment on their own.
Strumenti a supporto della didattica
Slides and Stata codes.
Orario di ricevimento
Consulta il sito web di Denni Tommasi