Monetary and Fiscal Policy Analysis with DSGE Models
Source details
- Canonical URL
- Monetary and Fiscal Policy Analysis with DSGE Models
Other formats
Bibliographic details
- Session: JV 24.30
- Location: Vienna, Austria
- Dates: September 30, 2024 - October 11, 2024 (2 weeks)
- Delivery method: In-person Training
- Primary language: English
- Status: Deadline passed
Overview
- Training Program presented by the Institute for Capacity Development.
- Session No.: JV 24.30.
- Location: Vienna, Austria.
- Date: September 30, 2024 - October 11, 2024 (2 weeks).
- Delivery Method: In-person Training.
- Primary Language: English.
- Deadline passed.
Target audience and qualifications
- Target Audience: Mid-level to senior officials who use Dynamic Stochastic General Equilibrium (DSGE) models in the macroeconomic analysis of monetary and fiscal policy issues.
- Qualifications:
- Expected to have an advanced degree in economics or equivalent experience.
- Expected to have solid quantitative skills.
- Expected to have a basic knowledge of MATLAB/Octave and Dynare/Iris.
- It is strongly recommended that applicants have completed the online Macroeconometric Forecasting (MFx) course.
Course description
- The course deals with building, using, and interpreting DSGE models.
- Introduces models and techniques that policy makers commonly use in analyzing monetary and fiscal issues.
- Devotes a large number of lectures to model design and implementation issues.
- Uses case studies relevant to the region to illustrate application to policymaking.
- Discusses the advantages and limitations of the models when used for policy analysis and advice.
Course objectives
Upon completion of the course, participants should be able to:
- Describe the models and techniques (computation and estimation) that policy makers use in analyzing monetary, fiscal, and structural issues.
- Build a basic DSGE model from first principles using data for a country case in the region.
- Augment or modify the model structure to address an economic policy question.
- Apply the DSGE models developed in the course to various policy questions and interpret their results.
- Identify the advantages and limitations of the models when used for policy analysis and advice.
- Start building a model based on their own country’s data.