## Residential Property Price Indices

## Source details

**Canonical URL:** [Residential Property Price Indices](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2026/rppixol26-196)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ol/2026/rppixol26-196/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ol/2026/rppixol26-196/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ol/2026/rppixol26-196/bundle-manifest.json)

## Bibliographic details
- Session: OL 26.196
- Location: Course conducted online
- Dates: May 1, 2026 - April 15, 2027 (50 weeks)
- Delivery method: Online Training
- Primary language: Spanish
- Status: Apply online by April 1, 2027

---

### Program and logistics
- Session No.: OL 26.196
- Location: Course conducted online
- Date: May 1, 2026 - April 15, 2027 (50 weeks)
- Delivery Method: Online Training
- Primary Language: Spanish
- Target Audience:
  - Mid-level to senior officials who are responsible for compiling, or planning to develop, the residential property price index (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
- Presents the concepts, data sources and compilation methods used for the production of the 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.
- Considers trade-offs involved in selecting data sources and strategies for longer-run development of data sources.
- Methodological emphasis on the property-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 stratification and hedonic regression techniques.
- 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)
- [Apply Now](https://www-ins.imf.org/TAS/signon.aspx?pkey=OL26.196S)
- [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/2026/rppixol26-196_