Numerical Methods in Macroeconomics

Beschreibung

This two half-day workshop will bring together researchers involved in the development and application of numerical methods in macroeconomics. Topics include solution methods, estimation methods, and machine learning applications for DSGE and other structural macroeconomic/-metric models, from linear representative agent to nonlinear and heterogeneous agent models, frequentist and Bayesian. Support by the DFG through grant nr. 465469938 “Numerical diagnostics and improvements for the solution of linear dynamic macroeconomic models” and the Deutsche Bundesbank is gratefully acknowledged. Organization: Alexander Meyer-Gohde (Goethe-University Frankfurt and IMFS) Falko Fecht and Martin Kliem (Bundesbank) Jakob Liermann (IMFS)

Zeitraum	22 Okt. 2024 → 23 Okt. 2024