Elias Wolf is a Ph.D. candidate in Economics at Freie Universität (FU) Berlin. He joined the the chair of Econometrics as a research assistant in April 2019.

He holds a M.Sc in Economics from FU Berlin. During his studies, Elias worked as a student assistant at the German Institute of Economic Research (DIW Berlin). He also studied at the University of California in Davis and wrote his Master‘s Thesis at the Research Center of the Deutsche Bundesbank in Frankfurt. 

His research interests include applied econometrics, macroeconomics, monetary policy,  spectral analysis and machine learning.

Bachelor

Summer 2020: Big Data in Economics

Master

Summer 2020: Univariate Time Series Analysis

Winter 2019: Econometric Analysis

Summer 2019: Univariate Time Series Analysis

• Conditional density forecasting: a tempered importance sampling approach, ECB Working Paper Series - No. 2754 (wih Carlos Montes-Galdón and Joan Paredes)
• Data revisions to German national accounts: Are initial releases good nowcasts?, International Journal of Forecasting, 2020 (with Strohsal, T.)
• On adjusting the one-sided Hodrick-Prescott filter, Bundesbank Discussion Paper 11/2020 (with Mokinski F. and Schüler Y.)