## Virtual : Residential Property Price Indices (RPPI)

## Source details

**Canonical URL:** [Virtual : Residential Property Price Indices (RPPI)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2021/rppist21-27v)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/st/2021/rppist21-27v/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/st/2021/rppist21-27v/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/st/2021/rppist21-27v/bundle-manifest.json)

## Bibliographic details
- Session: ST 21.27V
- Location: Singapore, Singapore
- Dates: August 30, 2021 - September 10, 2021 (2 weeks)
- Delivery method: Virtual Training
- Primary language: English
- Status: Deadline passed

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### Target audience and qualifications
- Target audience: Mid-level to senior officials and compilers responsible for, or planning to introduce or develop residential property price indexes (RPPI).
- Qualifications: Participants are expected to have a degree in economics or statistics, or equivalent experience.

### Course description
- Reviews data sources and methods for compiling RPPIs and outlines strategic issues for country-specific application.
- Emphasis on evaluating alternative data sources for compiling RPPIs in terms of:
  - coverage,
  - timeliness,
  - richness in terms of supporting a quality-mix methodology,
  - suitability of a price measure,
  - weighting.
- Discusses trade-offs involved in selecting data sources and strategies for longer-run development of data sources.
- Methodological emphasis on the quality-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices.
- Main mix-adjustment methods covered:
  - stratification,
  - hedonic regression.
- Interactive workshops address mix-adjustment topics.
- Highlights the interconnection between data source and methodological issues.
- 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
Upon completion of the course, participants should be able to:
- 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.

### Additional note
- The International Monetary Fund (IMF) offers online training to government officials and the public.
- Example training listing: Financial Development and Financial Inclusion (FDFI) — English (French, Portuguese) | November 16, 2026 - December 11, 2026 | Blended Training | Ebene, Mauritius.

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## References

- [Virtual Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Financial Development and Financial Inclusion (FDFI)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/fdfiat26-24)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2021/rppist21-27v_