Empirical Methods for Economics and Policy Evaluation
A.Y. 2022/2023
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.
Lesson period: Second trimester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
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
· 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. Additionally, basic knowledge of the statistical software Stata is an assett.
Teaching methods
Theory (40 hours) and practical Stata-based 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
· 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
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 - ECONOMICS
SECS-P/03 - PUBLIC ECONOMICS
SECS-P/03 - PUBLIC ECONOMICS
Lessons: 60 hours
Professors:
Bartos Vojtech, Frattini Tommaso
Professor(s)
Reception:
Wednesday 9:30 - 12:30. Office hours are suspended until April 28.
Room 218 or MS Teams