## Compilation of the Residential Property Price Index

## Source details

**Canonical URL:** [Compilation of the Residential Property Price Index](https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2026/rppisa26-32)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/sa/2026/rppisa26-32/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/sa/2026/rppisa26-32/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/sa/2026/rppisa26-32/bundle-manifest.json)

## Bibliographic details
- Session: SA 26.32
- Location: New Delhi, India New location
- Dates: September 7-11, 2026 (1 week)
- Delivery method: In-person Training
- Primary language: English
- Status: Deadline passed

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### Course description — scope and methodological emphasis
- Identifies the key uses of RPPIs.
- Reviews data sources and methods for compiling RPPIs.
- Outlines strategic issues for country-specific application.
- Emphasizes evaluation of alternative data sources in terms of:
  - coverage,
  - timeliness,
  - richness for supporting a quality-mix methodology,
  - suitability of a price measure,
  - weighting.
- Considers trade-offs involved in selecting data sources and strategies for longer-run development of data sources.
- Methodological component emphasizes the quality-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices.
- Mix-adjustment methods highlighted:
  - stratification,
  - hedonic regression.
- Interactive workshops address stratification and hedonic regression topics.
- Follows the principles of the 2013 Handbook on RPPIs.
- Highlights interdependence of data source choices and methodological approaches.

### Course objectives — competencies on completion
- Explain the nature and uses of RPPIs.
- Identify the strengths and weaknesses of possible data sources for RPPIs.
- Select the most appropriate method for RPPI compilation based on the availability of data.
- Apply different methods for compiling RPPIs.
- Make recommendations, where necessary, for the further development of data sources.

---


## References

- [In-person Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2026/rppisa26-32_