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Martin Spindler is a Professor of Statistics Application in Business Administration at the University of Hamburg, holding this position since June 2016. He has a strong background in Economics, having completed his Ph.D. in Economics at the Munich Graduate School of Economics in May 2012. In addition to his role at Hamburg, Spindler has served as a visiting professor at various prestigious institutions, including the University of Mannheim and Boston College, and has been a visiting scholar at the Massachusetts Institute of Technology. Spindler's research interests lie primarily in Econometrics, Statistics Applications, Finance, Insurance, and Health Economics, with a particular focus on Nonparametric High-dimensional Statistics and Machine Learning. His work includes a range of published papers in reputable journals and ongoing research in high-dimensional econometrics and machine learning applications. His scholarly contributions include studies on topics such as causal mediation analysis, high-dimensional models, and the economic implications of asymmetric information in insurance markets. He is widely recognized for his expertise in the field and continues to contribute to both academic literature and research innovations.
Max Planck Society / Munich Center for Economics of Aging • Germany
Conducted advanced research on the economics of aging and its implications.
University Mannheim • Germany
Substituted for Professor van den Berg in the Microeconometrics area.
Massachusetts Institute of Technology • Cambridge, USA
Engaged in collaborative research on various econometric models.
Includes tracks like Intelligent Adaptive Systems (IAS).