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Learning Objectives

LEARNING OUTCOMES: The course will illustrate the econometric methodology to study and develop structural models. Specifically, students will acquire knowlede on how to identify and estimate model parameters starting from a theoretical economic model. The course will exploit the link between the literature of structural econometrics and casual inference in statistics. These methodologies will be then applied, as example, on the evaluation of well-known policy programs.

KNOWLEDGE AND UNDERSTANDING: The objective is to learn the main statistical and econometric approaches to identify and estimate structural econometric models.

APPLYING KNOWLEDGE AND UNDERSTANDING: The students will apply knowledge and understanding of the estimation techniques using microdata applied to policy evaluation cases. The applications will be drawn from well known welfare programs. The students will develop skills in the use of the following software: R.

MAKING JUDGEMENTS: The course aims at developing micro-data analysis skills useful for the preparation of research projects. The students will be able to understand the difference between a "structural econometric" and a "reduced form" approaches.

COMMUNICATION SKILLS: Students will learn how to present facts and analyze data and economic problems in a rigorous way and present them to specialist and non-specialist audience.

LEARNING SKILLS: At the end of the course the students will be able to estimate the parameters of a structural models and to interpret the main economic problems in the light of the existing economic theories. The students are expected to extend the application of these research techniques to develop research projects and ideas on their own.