Modern Methods of Causal Inference in Criminology
This seminar introduces participants to modern causal inference methods and their application in criminological research. It begins with a discussion of experiments as the “gold standard” of causal analysis, exploring quasi-experimental methods as practical alternatives. To support hands-on learning, participants are introduced to the R programming language, covering foundational skills and basic statistical operations.
Core sessions focus on event study designs, including time series analyses, Difference-in-Differences approaches, and Regression Discontinuity methods. Additional topics include instrumental variable estimation to address endogeneity and an introduction to new and proven techniques such as causal machine learning and matching methods.
The seminar combines conceptual insights with practical exercises, equipping participants with tools to conduct robust causal analyses. While no prior programming experience is required, basic statistical knowledge is helpful. This seminar is ideal for those seeking to deepen their methodological expertise in criminology.