## Macroeconometric Forecasting and Analysis (MFA)

## Source details

**Canonical URL:** [Macroeconometric Forecasting and Analysis (MFA)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ct/2024/mfact24-01)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ct/2024/mfact24-01/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ct/2024/mfact24-01/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ct/2024/mfact24-01/bundle-manifest.json)

## Bibliographic details
- Session: CT 24.01
- Location: Dalian, China
- Dates: April 15-26, 2024 (2 weeks)
- Delivery method: In-person Training
- Primary language: English

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### Invitation and Logistics
- Session No.: CT 24.01
- Location: Dalian, China
- Date: April 15-26, 2024 (2 weeks)
- Delivery Method: In-person Training
- Primary Language: English

### Target Audience and Qualifications
- Target Audience:
  - Government officials involved in developing macroeconometric models and forecasting for the analysis, design, and implementation of macroeconomic policy.
- Qualifications:
  - Advanced degree in economics or equivalent experience.
  - Background in econometrics.
  - Comfortable using EViews for econometric applications.
  - It is strongly recommended that applicants have completed the online Macroeconometric Forecasting (MFx) course.

### Course Description
- Purpose:
  - Provide 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.
- Topics and methods covered:
  - Univariate and multivariate econometric time series models.
  - State-space models.
  - Nowcasting techniques including BRIDGE, MIDAS, and UMIDAS models.
- Format:
  - Each topic includes a lecture on underlying theory and a workshop with applications using EViews.
  - Participants work in groups on hands-on estimation and forecasting exercises.

### Course Objectives
Upon completion of the 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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## References

- [In-person 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/ct/2024/mfact24-01_