040063 UK Advanced Microeconometrics (MA) (2019S)

Content

This course provides students with a thorough and comprehensive knowledge of microeconometrics. Building upon the introductory course of microeconometrics, students will get a deeper understanding of microeconometric theory and the relevant methods used in contemporary empirical analysis. While the emphasis of the course is on estimating causal effects, other complementary techniques which are necessary to deal with specific data structures will be discussed as well. Using the statistical software Stata, students will learn to apply the introduced methods in regular computer practice sessions.

Questions addressed in this course are, among others: What methods allow to estimate causal effects? Which techniques are suitable for the analysis of categorical outcomes or duration outcomes? What are the implications of missing data or measurement error? How can the discussed estimation methods be implemented in Stata? etc.

Course goals

At the end of the course, students will be familiar with the relevant techniques and tools used in empirical microeconomics. This will allow them to critically read and understand empirical research. For a given research question and dataset, students will be able to choose appropriate econometric methods and conduct empirical analysis in Stata.

Prerequisites

• Knowledge of statistics and applied microeconometrics (MA course “Microeconometrics” or equivalent)
• Basic knowledge of Stata or similar statistical software