This course aims at providing MALED students with a basic statistical toolbox that includes:
Morning traditional classes will be paralleled in the afternoon by computer labs, where some exercises will be solved using the statistical software Stata.
The course aims to provide students with knowledge of the basic tools in econometrics. The topics covered include estimation and test of hypotheses in linear regression (with single and multiple regressors), panel data, limited (binary, censored and truncated) dependent variable models and Instrumental Variable estimation. The classes are complemented by lab session where real data are analysed with the help of the Stata econometric software.
The course is intended to deepen the knowledge of econometrics students have acquired in the "Basic fundamentals in econometrics" course. The topics covered include panel data, limited (binary, censored and truncated) dependent variable models and Instrumental Variables estimation. The classes are complemented by lab session where real data are analysed with the help of the Stata econometric software.
The course will deal with:
The methods discussed and formalized will be:
The classes will be complemented by lab sessions where real data are analysed with the help of the Stata econometric software, and by group work discussing real projects and proposing IE strategies.
This module aims to introduce the participants to the basic concepts, theories and tools that may be applied to the analysis and management of projects and policies. The emphasis is on the policy use of the techniques.
1. Why and how of CBA:
2. CBA techniques and policy implications
3. Ex-post vs Ex-ante CBA
4. Risk and Uncertainty
5. Public vs private evaluation of projects
The object of the course is to introduce the students to the use of micro-simulations for the study of tax benefit systems, pension systems and the labour market, when the focus is on distributive issues and on policy design and ex-ante policy evaluation.
The course will discuss the basic components of a microsimulation both from a theoretical and practical point of view, and in particular:
Other topics that will be discussed include the distinction between static vs. dynamic simulations, accounting vs. behavioural simulations, inferential aspects of simulation models, their connection with other agent-based modelling strategies, and the main software packages that can be used to support the implementation microsimulation models.