Jakob von Ditfurth

Jakob is a professional with expertise in economic modeling, data analysis, and quantitative research. He has developed and applied advanced econometric and statistical models through his academic research at institutions such as the University of Mannheim, Boston University, and Yale University. His work spans large-scale datasets and complex modeling techniques, including random utility models, Monte Carlo simulations, and transformer-based neural networks. Jakob has also contributed to applied economic consulting during his time at Compass Lexecon, where he worked on litigation cases involving cartel damage estimation.

Jakob specializes in using data-driven methods to address intricate economic questions, such as consumer behavior, market structure, and investment decisions. His research includes modeling consumer inattention, evaluating the impact of photovoltaic subsidies, and analyzing product assortment strategies to estimate bargaining power using high-performance computing. He is proficient in tools such as Julia, R, STATA, and Python, and brings a rigorous, computationally efficient approach to both academic and applied economic analysis.