Residential Property Price Index (RPPI)
This course, presented by the Statistics Department, identifies the key uses of RPPIs; reviews data sources and methods for compiling RPPIs; and outlines strategic issues for country-specific application. Emphasis is given to the importance of 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, and weighting. Trade-offs involved in selecting data sources are considered, as are strategies for longer-run development of data sources. The methodological component of the course 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 by stratification and hedonic ...
Target Audience
Mid-level to senior officials and compilers responsible for, or planning to introduce or develop, a residential property price index (RPPI).
Qualifications
Participants are expected to have a degree in economics or statistics; or equivalent experience.
Course Objectives
Upon completion of this course, participants should be able to:
- 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.
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