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Beyers Louw is an Assistant Professor at the Rotterdam School of Management, Erasmus University Rotterdam. His research primarily deals with how people make decisions under uncertainty and he is passionate about data analysis, particularly in identifying causality within complex data. Louw has published work in several prominent journals including Leadership Quarterly, Organizational Research Methods, and the Journal of Causal Inference. His recent publication explores the choice of control variables in empirical management research, providing insights into how causal diagrams can inform decision-making in management practices. Louw also teaches courses such as Macroeconomics and Applied Causal Inference, which aim to equip students with analytical frameworks for understanding complex economic systems and drawing causal inferences from data.
Rotterdam School of Management, Erasmus University Rotterdam • Rotterdam, Netherlands
Teaching and conducting research on decision-making under uncertainty, data analysis, and causality.
Department of Econometrics / MSc Econometrics and Management Science.