Karsten Webel

Karsten Webel is a Research Professor at the Deutsche Bundesbank's Research Centre, part of the Directorate General Data and Statistics. His work focuses on seasonal adjustment methodologies, stochastic processes, machine learning applications, and index theory. He contributes to the development and implementation of JDemetra+, the official software for seasonal adjustment in Europe. Webel's research emphasizes infra-monthly time series analysis, including daily and weekly economic indicators, and has published extensively on topics like random forest-based seasonality tests and data-driven model selection.

Education and affiliations are not explicitly detailed in the provided text, but Webel's professional activities include presentations at conferences such as the International Conference on Establishment Statistics and the Joint Statistical Meetings. His research has been disseminated through peer-reviewed journals, conference proceedings, and book chapters, with a strong emphasis on methodological advancements in time series analysis and econometrics.

Key research interests include seasonal adjustment techniques for non-traditional time frequencies, stochastic processes, and the application of machine learning algorithms to economic data. Webel collaborates with institutions like Insee and the National Bank of Belgium, contributing to the Eurostat-recommended seasonal adjustment software framework. His work bridges theoretical statistical methods with practical applications in central banking and official statistics.