Workshop description
This course is grounded in the context of business and management research, enabling participants to appreciate the practical applications of basic statistics methods aimed at typical use cases we usually encounter, all explained with concrete examples from published papers. In the first half of the course, we will go through basic methods for working with quantitative and categorical dependent variables (linear regression, logit, the role of control variables, and the fixed-effects model). In the second half, we will focus on empirical strategies for causal analysis. We will discuss the potential outcomes model, confounders, and role of natural experiments and discuss methods such as matching, difference-in-differences, instrumental variables regression and regression discontinuity design.