040063 UK Advanced Microeconometrics (MA) (2018S)

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 are discussed as well. Using the statistical software Stata, students will learn to apply the introduced methods in regular computer lab sessions.

Typical questions of this course are, among others: What are potential methods to estimate causal effects? Which techniques are suitable for the analysis of duration data? What are the implications of missing data or measurement error? How can we implement a specific estimation method in Stata? etc.

Course goals

At the end of the course, students will be familiar with the relevant techniques and tools used for empirical analysis in 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