This module will provide MSc students with a broad understanding of the main challenges micro-econometricians face in their empirical work and of the most up-to-date methods and approaches they could use to address these identification threats. This course will allow students to learn about econometrics tools to be used in their dissertations and in their future work. It will also provide an excellent learning opportunity for MSc students who are interested in proceeding to doctoral study with a focus on empirical work.
The purpose of this module is to introduce students to advanced topics and methods in empirical microeconometrics. Students who complete the module will be able to recognize the challenges posed by both the data and the empirical relationships they intend to study and to think creatively about the most appropriate methods and approaches they can adopt. Students will be equipped with the skills needed to read published research and write a dissertation in this area. By the end of the course, students will have also gained valuable experience in handling real data, in producing meaningful estimates and in interpreting and discussing their own results.