Scheda programma d'esame
STATISTICAL METHODS FOR POLICY EVALUATION AND CAUSAL INFERENCE
STEFANO ROSIGNOLI
Anno accademico2018/19
CdSMARKETING E RICERCHE DI MERCATO
Codice495PP
CFU3
PeriodoSecondo semestre
LinguaInglese

ModuliSettore/iTipoOreDocente/i
STATISTICAL METHODS FOR POLICY EVALUATION AND CAUSAL INFERENCESECS-S/01LEZIONI21
STEFANO ROSIGNOLI unimap
Programma non disponibile nella lingua selezionata
Syllabus

The course will focus on providing a basic knowledge on methods for the impact evaluation of policies and programs. The main econometric methods used in impact analyses (Randomized Trials, PS Matching, Instrumental Variables, Regression Discontinuity Designs, Difference-in-Differences) will be introduced and described. The course also contains practical modules that use data and real examples to show the computational application of some of the methods presented.

Bibliography

“Gertler, Paul J.; Martinez, Sebastian; Premand, Patrick; Rawlings, Laura B.; Vermeersch, Christel M. J.. 2016. Impact Evaluation in Practice, Second Edition. Washington, DC: Inter-American Development Bank and World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/25030 License: CC BY 3.0 IGO.”

Assessment methods

The exam will consist in a written and oral test.

Ultimo aggiornamento 01/02/2019 14:34