Empirical methods for economics and policy Evaluation

A.Y. 2019/2020
9
Max ECTS
60
Overall hours
SSD
SECS-P/01 SECS-P/03
Language
English
Learning objectives
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.
Expected learning outcomes
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.
Course syllabus and organization

Single session

Responsible
Lesson period
Second trimester
Course syllabus
· 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
Prerequisites for admission
There are no formal prerequistes, but knowledge of basic econometrics is required.
Teaching methods
Theory (40 hours) and practical lectures (20 hours)
Teaching Resources
Main references:
· Lecture slides
· Jousha D. Angrist and Jorn-Steffen Pischke (2015) Mastering Metrics, Princeton University Press
· Specific papers indicated in each chapter
Assessment methods and Criteria
Written exam
SECS-P/01 - ECONOMICS - University credits: 0
SECS-P/03 - PUBLIC ECONOMICS - University credits: 0
Lessons: 60 hours
Professor(s)
Reception:
Please send email to arrange an appointment
Skype
Reception:
Tuesdays, 10.30-12.30
Room 11, 2° floor, DEMM