- Oggetto:
- Oggetto:
METHODOLOGICAL TOOLS FOR EMPIRICAL WORK
- Oggetto:
METHODOLOGICAL TOOLS FOR EMPIRICAL WORK
- Oggetto:
Anno accademico 2022/2023
- Codice dell'attività didattica
- CPS0747
- Docente
- Thibaud Deguilhem (Titolare dell'insegnamento)
- Corso di studi
- Master's Degree Course in Economic analysis and policy
- Anno
- 2° anno
- Periodo didattico
- Da definire
- Tipologia
- Caratterizzante
- Crediti/Valenza
- 6
- SSD dell'attività didattica
- SECS-P/05 - econometria
- Modalità di erogazione
- Tradizionale
- Lingua di insegnamento
- Inglese
- Modalità di frequenza
- Facoltativa
- Tipologia d'esame
- Orale
- Oggetto:
Sommario insegnamento
- Oggetto:
Obiettivi formativi
The goal of this course is to familiarize students with the heterodox
econometrics technics: from a theoretical (mathematical) perspective;
from a practical and empirical point of view; but also in a more reflexive
movement, as ideologically oriented tools. Students are evaluated on the
replication of a research paper results, under the supervision of the
professor. Thesepractices in context are useful to understand the “how
to” of econometrics, but also the presuppositions of the methodology.
Nevertheless, some theoretical lectures will be given on the more advance
and original methodologies as well as on statistics sociology.
The scope of the course includes linear models for panel data (fixed
effects) and quasi-experimental econometrics (Propensity Score Matching
and DiD estimators). We’ll use R for computation.- Oggetto:
Risultati dell'apprendimento attesi
This course will provide students with knowledge in advanced econometrics.
- Oggetto:
Modalità di insegnamento
The classes will be a mix of lectures and excercices on software and will be given in English.
- Oggetto:
Modalità di verifica dell'apprendimento
Grading and evaluation will be based on a group replication of empirical
results featuring one of the several methods covered in class. Students
will be evaluated individually by a presentation of their work (oral
defence). Sessions dedicated to the replication presentations will be
organized at the end of the Semester.- Oggetto:
Programma
Indicative list of lectures
Introduction: “All models are wrong, but some are useful" (1);
Reminders on linear regression and panel models (2); causality,
counterfactual, and experiments (1); quasi-experimental strategies: PSM
(1); Diff-in-Diff estimator and recent advancement (2); presentation of
the research papers to be replicated (1), Sessions dedicated to
students’questions about replication; Presentation: oral defence (2)Testi consigliati e bibliografia
- Oggetto:
Introduction to econometrics with R, available at
https://www.econometrics-with-r.org/
Angrist, J. D. et Pischke, J.-S. (2009). Mostly harmless econometrics: An
empiricist’s companion. Princeton University Press, New York.
Gangl, M. (2010). Causal Inference in Sociological Research. Annual Review
of Sociology, 36(1) :21-47.
Wooldridge, J. M. (2010). Econometric analysis of cross section and panel
data. MIT Press, Cambridge.Fox & Weisberg (2011). An R companion to applied regression.
Fox, J. (2015). Applied regression analysis and generalized linear models.
Bernhard Pfaff (2008). Analysis of Integrated and Cointegrated Time Series
with R- Oggetto: