Richard Schnorrenberger

PhD candidate in Econometrics, Kiel University

Richard is a PhD candidate and teaching assistant at the Institute for Statistics and Econometrics of the Kiel University. His research interests are mostly linked to time series econometric models for macro-finance forecasting, including Bayesian methods and mixed-frequency data. With the return of inflation in global markets, he is currently focused on combining his expertise in econometric modeling with inflation nowcasting in data-rich environments.

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CEPR Policy Research