Welcome!
I am a Ph.D. candidate at the Munich Graduate School of Economics as a member of the Egon Sohmen Graduate Center. I am conducting research at the intersection of labor and health economics.
Additionally, I am interested in exploring how machine learning can be used for causal inference and deep learning applications in economics, with a focus on the fields of health and labor economics. I believe that data-driven methods can be used to generate valuable insights that inform policy decisions.
Prior to my doctoral studies, I worked as a Predoctoral Research Assistant at Stanford University under the guidance of Professor David Chan. During this time, I was involved in research projects that examined healthcare-related questions, which provided me with a strong foundation in this field.
Contact: kevin [dot] kloiber [at} econ [dot] lmu [dot] de