Currículo
Inferência Causal e Avaliação de Programas Aplicada ACIPE
Contextos
Groupo: Econometria Aplicada e Previsão > 2º Ciclo > Parte Escolar > Unidades Curriculares Optativas > Optativa 3
ECTS
6.0 (para cálculo da média)
Objectivos
Understanding the main methods of causal inference in both theory and practice.
Programa
The topics that will be discussed are: 1. Rubin Causal Model and Randomized Treatment Assignment 2. Selection on Observables 3. Instrumental Variables 4. Regression Discontinuity Designs 5. Difference in Difference 6. Machine Learning First, each topic will be analysed in theory. Then, it is shown how to apply the method using Stata / R. The students will submit a written empirical work at the end of the course.
Método de Avaliação
Empirical work (50%) and written exam (50%)
Carga Horária
Carga Horária de Contacto -
Trabalho Autónomo - 121.0
Carga Total -
Bibliografia
Principal
- Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies.: Donald B. Rubin 1974 Rubin1974
- Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs: Rajeev Dehejia and Sadek Wahba 1999 DehejiaWahba1999
- Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania: David Card and Alan Krueger 1992 CardKrueger19912