Forecasting Methods and Causal Inference for the Social Sciences

The course deepens the knowledge of quantitative social science methodology that students have acquired during undergraduate studies. The aim is to develop your ability to use forecasting and causal inference methods to answer a research question and test theoretical arguments. The course offers training in how to design, estimate, and interpret common methods within forecasting and causal inference. Key techniques covered include Monte Carlo simulation, randomisation inference and prediction. There will be a focus on understanding the assumptions and goals of different methods and evaluating their strengths and weaknesses. To support your practical application, the course includes the use of statistical software.