Numerical Methods in Macroeconomics

Activity: Other

Description

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)
Period22 Oct 202423 Oct 2024

Fields of science

  • 211 Other Technical Sciences

JKU Focus areas

  • Sustainable Development: Responsible Technologies and Management