UE 3 - Advanced Econometrics III
- Cours (CM) 40h
- Cours intégrés (CI) -
- Travaux dirigés (TD) -
- Travaux pratiques (TP) -
- Travail étudiant (TE) 80h
Langue de l'enseignement : Anglais
Description du contenu de l'enseignement
- Advanced Econometric Theory III
- Resampling Methods (Bootstrap, wild bootstrap, block bootstrap, bias corrections, subsampling)
- Quasi Maximum Likelihood
- Simulation Based Methods (simulated ML and Moment estimation, Indirect Inference)
- Bayesian Methods
- EM Algorithm
- Measurement Error and Missing Data Problems
- Econometric Evaluation of Public Policies
- (Double-)Difference in Differences
- Regression Discontinuity (Sharp&Fuzzy)
- Propensity score weighting
- Inverse Probability weighting
- Matching methods
- IV methods (Local average treatment effects)
- Synthetic control groups
Compétences à acquérir
- Choose econometric model specifications which are suitable, both to the data and to the economic models;
- Understand estimation and inference methods which are appropriate for different econometric problems;
- Estimate the model and be able to interpret the estimation results, using appropriate software (part 2).
- Gather practical work experience with a statistical package as preparation of an empirical master dissertation (part 2).
- Conduct independent empirical work and present the results to an audience (part 2).
Contact
Faculté des sciences économiques et de gestion (FSEG)
61, avenue de la Forêt Noire67085 STRASBOURG CEDEX
0368852178
Formulaire de contact
Responsable
Bertrand Koebel