This course presents the main applied econometric methods for analysing empirical data in economics and the surroundings fields. In addition to refresh the basic statistical concepts, the course will cover: panel data, non-linear models of choice, methods of identification, handling large databases, regression-discontinuity analysis, methods for RCT.

Lectures: 10 x 2hours

Tutorials: 5 x 1hour

On campus

None

None

The aim of the course is to provide students with the main econometric tools for analysing and interpreting empirical micro data. Different key models as well as estimation methods will be covered such that students will be able to independently and creatively formulate their econometric model, apply specialised tools for the analysis of experimental and non-experimental data.

By the end of this course students will be able to:

1. Apply the fundamental statistical knowledge for Microeconometrics

2. Estimate Choice Models

3. Analyse causality in the empirical data

4. Select the most appropriate regression model according to the type of data at hand

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.