## Macroeconometric Forecasting (MFx)

## Source details

**Canonical URL:** [Macroeconometric Forecasting (MFx)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2024/mfxol24-181)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ol/2024/mfxol24-181/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ol/2024/mfxol24-181/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ol/2024/mfxol24-181/bundle-manifest.json)

## Bibliographic details
- Session: OL 24.181
- Location: Course conducted online
- Dates: May 1, 2024 - August 31, 2024 (18 weeks)
- Delivery method: Online Training
- Primary language: English
- Status: Deadline passed

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### Target audience
- 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.

### Session details and logistics
- Session No.: OL 24.181
- Deadline passed
- Location: Course conducted online
- Date: May 1, 2024 - August 31, 2024 (18 weeks)
- Delivery Method: Online Training
- Primary Language: English
- Access requirements:
  - Background in undergraduate statistics and basic econometrics is expected.
  - 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 description
- Presented by the Institute for Capacity Development.
- Designed to reinforce macroeconomic forecasting and modeling skills and the use of modern econometric techniques.
- Lectures discuss the underlying theory and demonstrations show how to conduct empirical analyses using EViews.
- 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.
  - Forecast uncertainty and policy analysis.

### Course objectives
Upon completion of this 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)
- [Core Elements of Banking Supervision (CBS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2027/cbsat27-10)
- [Advanced Government Finance Statistics (GFS-A)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/gfs-ace26-45)
- [Fiscal Sustainability (FS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/fsce26-38)
- [Safeguards Assessments of Central Banks (SAC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/sacat26-30)
- [Macroeconomic Management in Resource Rich Countries (MRC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/mrcce26-44)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2024/mfxol24-181_