## Macroeconometric Forecasting (MFx)

## Source details

**Canonical URL:** [Macroeconometric Forecasting (MFx)](https://www.imf.org/en/capacity-development/training/icdtc/courses/mfx)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/courses/mfx/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/courses/mfx/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/courses/mfx/bundle-manifest.json)

## Bibliographic details
- Published: October 23, 2020

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## Upcoming offerings

| Start date | End date | Location | Delivery Method | Session No. | Primary & (Interpretation) language | Apply |
| --- | --- | --- | --- | --- | --- | --- |
| May 1, 2026 | August 31, 2026 | Course conducted online | [Online Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods) | [OL 26.175](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2026/mfxol26-175) | English | [Apply online](https://www-ins.imf.org/TAS/signon.aspx?pkey=OL26.175E) by August 15, 2026 |

### Course overview
- Presented by the Institute for Capacity Development, the course is designed to reinforce the macroeconomic forecasting and modeling skills of participants and their use of modern econometric techniques.
- Lectures cover underlying theory and demonstrations show how to conduct empirical analyses using EViews.
- The course focuses on four aspects of empirical model building and forecasting:
  - data and model properties, such as stationarity/non-stationarity and co-integration;
  - dynamic specifications, especially the use of error correction models;
  - model evaluation, design, and simulation; and
  - forecast uncertainty and policy analysis.
- Topic: General Macroeconomics.

### Target audience and language
- All government officials are welcome to register.
- Particularly relevant for officials involved in developing forecasts that are used to design and implement macroeconomic policy.
- The course is offered in English.

### Qualifications and technical requirements
- Participants are expected to have a background in undergraduate statistics and basic econometrics.
- Access to a computer with a reliable Internet connection and a Google Chrome web browser is essential.
- Demonstrations and applications are conducted using EViews – a popular software for estimating and simulating forecasting models in Windows.
- Temporary licenses for EViews are made available for the duration of the course.

### Course objectives
Upon completion of the course, participants should be able to:
- Forecast time series and multiple equation models using EViews.
- Assess the statistical characteristics of time series and apply appropriate methods for forecasting.
- Construct a macroeconometric model using ARMA, VAR, and VECM methods.
- Use a variety of statistical techniques to evaluate the performance of a forecasting model.

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## References

- [Online Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [OL 26.175](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2026/mfxol26-175)
- [Apply online](https://www-ins.imf.org/TAS/signon.aspx?pkey=OL26.175E)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/courses/mfx_