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Percorso della pagina
  1. Economics
  2. Bachelor Degree
  3. Economia, Analisi dei Dati e Management [E3305M - E3303M]
  4. Courses
  5. A.A. 2025-2026
  6. 3rd year
  1. Econometrics and Impact Evaluation
  2. Summary
Insegnamento con partizioni Course full name
Econometrics and Impact Evaluation
Course ID number
2526-3-E3303M017
Course summary SYLLABUS

Blocks

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Teaching units

Course full name Econometrics and Impact Evaluation - 1 Course ID number 2526-3-E3303M017-T1
Course summary
Course full name Econometrics and Impact Evaluation - 2 Course ID number 2526-3-E3303M017-T2
Course summary

Course Syllabus

  • Italiano ‎(it)‎
  • English ‎(en)‎
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Obiettivi formativi

Contenuti sintetici

Programma esteso

Prerequisiti

Metodi didattici

Lezioni frontali con mix di lezioni "classiche", lezioni di approfondimento, ed esercitazioni di analisi dei dati presi da dataset e studi reali (utilizzando il software Stata).

Modalità di verifica dell'apprendimento

Esame scritto (domande aperte) e proposta di ricerca (facoltativa).

Testi di riferimento

Libro di testo: "Mastering Metrics: The Path From Cause To Effect" by Joshia D. Angrist and Jorn-Steffen Pischke, Princeton Edition (2015)
Materiale addizionale: slides e papers scientifici.

Periodo di erogazione dell'insegnamento

Primo semestre

Lingua di insegnamento

Inglese

Sustainable Development Goals

SCONFIGGERE LA POVERTÀ | ISTRUZIONE DI QUALITÁ | RIDURRE LE DISUGUAGLIANZE
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Learning objectives

Having successfully completed this module, you will be able to:

  • use a range of econometric methods to investigate causal relations and study economic issues with the help of quantitative data
  • Critically discuss issues related to the definition of causal claims
  • Apply the different methodology to real data, using Stata software

Contents

In this module we will

  1. examine what it means to assess causal effects and conduct rigorous impact evaluations
  2. learn the tools that as economist we have at disposal to do that
  3. look at studies that use those tools to answer important questions
    - what is the impact of reducing the minimum legal drinking age on mortality?
    - what is the economic benefit of studying for longer years?
    - is it really worth to pay more to go to more prestigious private universities?
  4. put the theory into practice, by analyzing actual data from real world studies

More specifically, the module will cover the following topics:

  1. Introduction to Impact Evaluation
  2. Randomized Controlled Trials (RCTs)
  3. Regression Analysis
  4. Instrumental Variables
  5. Regression Discontinuity Designs
  6. Difference-in-Differences
  7. Examples and Applications

The module adopts a ”hands-on” approach and will be less theoretical than other standard econometrics modules.

Detailed program

Prerequisites

Teaching methods

Lectures combining a mix of “traditional” classes, more in-depth training sessions, and practical exercises analyzing data from real datasets and studies (using Stata software)

Assessment methods

Written exam (open questions) and research proposal (optional).

Textbooks and Reading Materials

Textbook: "Mastering Metrics: The Path From Cause To Effect" by Joshia D. Angrist and Jorn-Steffen Pischke, Princeton Edition (2015)
Additional Material: lecture notes and scientific papers

Semester

First Semester

Teaching language

English

Sustainable Development Goals

NO POVERTY | QUALITY EDUCATION | REDUCED INEQUALITIES
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Key information

Field of research
SECS-P/05
ECTS
6
Term
First semester
Activity type
Mandatory
Course Length (Hours)
42
Degree Course Type
Degree Course
Language
English

Staff

    Teacher

  • Andrea Guariso
    Andrea Guariso

Students' opinion

View previous A.Y. opinion

Bibliography

Find the books for this course in the Library

Enrolment methods

Manual enrolments
Guest access

Sustainable Development Goals

NO POVERTY - End poverty in all its forms everywhere
NO POVERTY
QUALITY EDUCATION - Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
QUALITY EDUCATION
REDUCED INEQUALITIES - Reduce inequality within and among countries
REDUCED INEQUALITIES

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