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Financial Sector Policies

The Use of DSGE Models in the Policy-Making Process - Advanced

Invitation

Session No.: CT 19.08

Location: Dalian, China

Date: September 2-6, 2019 (1 week) New dates

Primary Language: English

Interpretation Language: Chinese

    Target Audience

    Mid- to senior-level officials involved in developing forecasts that are used in the design and implementation of macroeconomic policy.
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    Qualifications

    Participants should have an advanced degree in economics or equivalent experience. They should also be comfortable using software for econometric applications such as EViews.
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    Course Description

    This course, presented by the IMF's Institute for Capacity Development, aims to strengthen participants' macroeconomic forecasting and modeling skills through the application of modern econometric techniques. Lectures are designed to include a discussion of underlying theory, live presentations of empirical analyses on a personal computer, and hands-on learning by participants in a computer lab. The course focuses on five aspects of empirical model building and forecasting:

    • data and model properties, including stationarity, non-stationarity and cointegration;
    • dynamic specification, including the use of error correction models;
    • model evaluation and model design;
    • forecast uncertainty, forecasting for policy, and policy analysis; and
    • combination forecasts.

    Participants apply the techniques to a case study country for which they estimate a model, evaluate it, and then use the model for forecasting.

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