## Residential Property Price Indices

## Source details

**Canonical URL:** [Residential Property Price Indices](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2025/rppixol25-247)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ol/2025/rppixol25-247/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ol/2025/rppixol25-247/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ol/2025/rppixol25-247/bundle-manifest.json)

## Bibliographic details
- Session: OL 25.247
- Location: Course conducted online
- Dates: September 1, 2025 - April 15, 2026 (33 weeks)
- Delivery method: Online Training
- Primary language: English
- Status: Deadline passed

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### Training program and logistics
- Session No.: OL 25.247
- Deadline: Deadline passed
- Location: Course conducted online
- Date: September 1, 2025 - April 15, 2026 (33 weeks)
- Delivery Method: Online Training
- Primary Language: English
- Target audience:
  - Primarily mid-level to senior officials responsible for compiling, or planning to develop, the RPPI.
  - Users of the RPPI will also find the course beneficial.
- Qualifications:
  - Participants are expected to have a degree in economics or statistics; or equivalent experience.

### Course description and methodological focus
- Presented by the Statistics Department.
- Presents concepts, data sources and compilation methods used for the production of the Residential Property Price Index (RPPIs).
- Emphasis on evaluating data sources for compiling RPPIs in terms of:
  - coverage,
  - timeliness,
  - richness in terms of supporting an appropriate compilation method,
  - suitability of the price measure,
  - weighting.
- Discusses trade-offs involved in selecting data sources and strategies for longer-run development of data sources.
- Methodological component emphasizes the property-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices.
- Mix-adjustment methods taught:
  - Stratification,
  - Hedonic regression.
- Course includes interactive workshops on mix-adjustment topics.
- The course follows the principles of the 2013 Handbook on RPPIs published by Eurostat, International Labor Organization (ILO), IMF, Organization for Economic Co-operation and Development (OECD), United Nations Economic Commission for Europe (UNECE), and the World Bank.

### Course objectives
- Better understand the aim, scope and role of the RPPIs in analyzing developments in the property market.
- Learn to identify and assess relevant data sources for the RPPI.
- Explore best practice for the compilation of a price index for the residential property.

---


## 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)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2025/rppixol25-247_