Andreas Pick

Andreas Pick is an Associate Professor in the Department of Econometrics at the Erasmus School of Economics, Erasmus University Rotterdam. His research focuses on econometric modeling, macroeconomic forecasting, and machine learning applications in economics. He is actively contributing to the field through publications in top-tier journals and co-authoring with leading scholars in econometrics.

His research interests include Macroeconomic Forecasting, Machine Learning in Economics, Bayesian Econometrics, Vector Autoregressions, Markov Switching Models, and Panel Data Forecasting. These areas reflect his expertise in developing and applying advanced statistical methods to economic data.

The recent articles show a consistent focus on improving forecasting accuracy using machine learning, handling structural breaks, and optimizing forecasts in nonlinear models. His work bridges econometric theory with practical macroeconomic applications, particularly in nowcasting GDP and multi-step forecasting using high-dimensional datasets.

Andreas Pick has supervised at least one student, as indicated by the 'Supervised Work' entry. He has collaborated with researchers such as Timmermann, Boot, and de Winter. There is no mention of specific grants, but his open-access publications and shared datasets suggest active research funding and collaboration.

He maintains a personal website at https://apick.eu where more information about his work can be found. A dataset related to his 2018 paper on Markov switching models is publicly available on Figshare, indicating transparency and reproducibility in his research.