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Macroeconometric Forecasting

Macroeconometric Forecasting and Analysis (MFA)

Deadline passed

Session No.: SA 22.33

Location: New Delhi, India

Date: September 19-30, 2022 (2 weeks)

Delivery Method: In-person Training

Primary Language: English

    Target Audience

    Government officials involved in developing macroeconometric models and forecasting for the analysis, design, and implementation of macroeconomic policy.

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    Qualifications

    Participants are expected to have an advanced degree in economics or equivalent experience and a 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 in the estimation 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 as Factor, BRIDGE, and MIDAS models. Each topic includes a lecture that discusses the underlying theory and a workshop with applications using EViews. 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 a number of econometric model specifications.           
    • Use EViews software to apply modeling techniques that enhance the policy analysis and forecasting capabilities in their institutions.
    • 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 own work or research and that of other countries.
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