BUSM160 - Experiments for Business and Analytics - 2022/23

This module covers statistical analysis of experiments in the social sciences. The module builds on the methods you acquired in the Data Analytics and Programming for Business Analytics modules. The methods used to study proper randomized controlled trials and settings that are similar require you to understand advanced econometric techniques, such as difference-in differences regressions, matching estimators, regression discontinuity designs and instrumental variables techniques. These methods will be introduced in the context of experiments that have been run in business and social contexts with large numbers of participants.