Empirical methods for economics and policy evaluation
A.A. 2022/2023
Obiettivi formativi
The aim of this course is to analyse the main challenges faced by economists and social scientists in answering empirical questions using micro‐data. The main emphasis will be on learning how to establish causal relationships between different variables and how to use this evidence to inform policy makers' decisions.
Risultati apprendimento attesi
Students will learn how to handle real‐world data, how identify causal effects using micro-data, how to use econometric software (Stata) to generate estimates and how to link econometric theory with data work and produce an insightful and coherent empirical analysis.
Periodo: Secondo trimestre
Modalità di valutazione: Esame
Giudizio di valutazione: voto verbalizzato in trentesimi
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Programma e organizzazione didattica
Edizione unica
Responsabile
Periodo
Secondo trimestre
Programma
· Introduction: the "credibility revolution"' in empirical economics
· Example: Evaluating Education Policies
· Estimating Causal Policy Effects
· Randomized Experiments
· Regression Discontinuity Design
· Difference in Differences
· Panel Data
· Instrumental Variables
· Example: Evaluating Education Policies
· Estimating Causal Policy Effects
· Randomized Experiments
· Regression Discontinuity Design
· Difference in Differences
· Panel Data
· Instrumental Variables
Prerequisiti
There are no formal prerequistes, but knowledge of basic econometrics is required. Additionally, basic knowledge of the statistical software Stata is an assett.
Metodi didattici
Theory (40 hours) and practical Stata-based lectures (20 hours)
Materiale di riferimento
Main references:
· Lecture slides
· Jousha D. Angrist and Jorn-Steffen Pischke (2015) Mastering Metrics, Princeton University Press
· Specific papers indicated in each chapter
· Lecture slides
· Jousha D. Angrist and Jorn-Steffen Pischke (2015) Mastering Metrics, Princeton University Press
· Specific papers indicated in each chapter
Modalità di verifica dell’apprendimento e criteri di valutazione
Attendant students:
· Class attendance and active participation: 10% of the final grade
· Two assignments: 20% of the final grade
· Final exam: 70% of the final grade
Non-attendant students: final written exam.
The final exam will last 90 minutes and will consist of three open questions.
· Class attendance and active participation: 10% of the final grade
· Two assignments: 20% of the final grade
· Final exam: 70% of the final grade
Non-attendant students: final written exam.
The final exam will last 90 minutes and will consist of three open questions.
SECS-P/01 - ECONOMIA POLITICA
SECS-P/03 - SCIENZA DELLE FINANZE
SECS-P/03 - SCIENZA DELLE FINANZE
Lezioni: 60 ore
Docenti:
Bartos Vojtech, Frattini Tommaso
Docente/i
Ricevimento:
Mercoledì 9:30-12:30. Il ricevimento studenti è sospeso fino al 28 aprile.
Stanza 218 o MS Teams