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Macroeconometric Forecasting

Macroeconometric Forecasting and Analysis (MFA)

Apply online by January 19, 2025 Deadline extended

Session No.: JV 25.11

Location: Vienna, Austria

Date: April 28, 2025 - May 9, 2025 (2 weeks)

Delivery Method: In-person Training

Primary Language: English

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    Target Audience

    Government officials involved in the development of macro-econometric models for forecasting, analysis, and implementation of macroeconomic policy.

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    Qualifications

    Participants are expected to have an advanced degree in economics or equivalent experience and background in econometrics. They should also be comfortable using EViews for econometric applications. It is strongly recommended that applicants have completed the online Macroeconometric Forecasting (MFx) course.

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    Course Description

    This course, presented by the Institute for Capacity Development, gives government officials a rigorous foundation estimating of macro-econometric models and their application for nowcasting, forecasting, and policy analysis in central banks, ministries, and public research institutions. The course examines univariate and multivariate econometric time series models, state-space models, and nowcasting techniques such as BRIDGE, MIDAS, and UMIDAS models. Each topic includes a lecture discussing the underlying theory and a workshop with EViews applications. Participants work in groups on hands-on estimation and forecasting exercises.

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    Course Objectives

    Upon completion of this course, participants should be able to: 

    • Identify the foundations, characteristics, and limitations for several econometric model specifications. 
    • Use EViews software to apply modeling techniques that enhance their institutions' policy analysis and forecasting capabilities.  
    • Apply the techniques learned to country cases from their region to forecast and analyze a policy issue. 
    • Apply appropriate tools available in the EViews econometric package to their work or research and that of other countries. 
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