Singapore University of Social Sciences

ANL553 Applied Statistical Methods and Causal Analysis introduces the concept of statistical inference, empirical methods and causal analyses that are hands-on and practitioner focused. The course will provide an understanding of the fundamental principles of various empirical methods for statistical inference and causal analysis. The course will begin by covering basic concepts in statistics and programming. It will focus on common confounding challenges of causal analysis, and how classical empirical approaches such as linear regression and panel data regression may address them. It will also cover modern approaches for causal analysis such as instrumental variable estimation and difference-in-differences estimation. The course will focus on equipping students with the sound intuition and practical research skills in conducting statistical and causal analysis to address relevant business problems.