Measuring Housing Price Growth – Using Stratification to Improve Median-based Measures
AbstractDevelopments in housing prices are of interest to households, policy-makers and those involved in the housing industry. This has been the case both in Australia and in other countries where house price developments are having significant macroeconomic impacts. However, the construction of measures of city-wide or nationwide average housing prices is not a straightforward exercise. One problem is that the sample of dwellings transacted in any period may be far from random and the characteristics of the sample may change from period to period. As a result, widely used measures of growth in mean or median housing prices will reflect changes in the composition of dwellings sold as well as changes in demand and supply conditions. We demonstrate that median price measures in most major Australian capitals are significantly affected by such compositional change. In this paper, we propose a simple measure of house price growth that addresses the problem of compositional change by stratifying individual transactions into different groups. Our measure differs from those commonly used internationally in that we group small geographic regions (suburbs) according to the long-term average price level of dwellings in those regions, rather than just clustering smaller geographic regions into larger geographic regions. This produces a measure of price growth that substantially improves upon median price measures, and one that is highly correlated with more sophisticated (but more computationally intensive) measures. While we focus on providing a basic framework for measuring house price growth, the stratification techniques contained in this paper have broader applications for dealing with datasets that are affected by compositional change.
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Bibliographic InfoPaper provided by Reserve Bank of Australia in its series RBA Research Discussion Papers with number rdp2006-04.
Date of creation: May 2006
Date of revision:
Find related papers by JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-06-10 (All new papers)
- NEP-GEO-2006-06-10 (Economic Geography)
- NEP-URE-2006-06-10 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Goodman, Allen C. & Thibodeau, Thomas G., 2003. "Housing market segmentation and hedonic prediction accuracy," Journal of Housing Economics, Elsevier, vol. 12(3), pages 181-201, September.
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- James Hansen, 2006. "Australian House Prices: A Comparison of Hedonic and Repeat-sales Measures," RBA Research Discussion Papers rdp2006-03, Reserve Bank of Australia.
- David Norman & Thomas Walker, 2004. "Co-movement of Australian State Business Cycles," RBA Research Discussion Papers rdp2004-09, Reserve Bank of Australia.
- Meese, Richard A & Wallace, Nancy E, 1997. "The Construction of Residential Housing Price Indices: A Comparison of Repeat-Sales, Hedonic-Regression and Hybrid Approaches," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 51-73, Jan.-Marc.
- Luci Ellis, 2006. "Housing and Housing Finance: The View from Australia and Beyond," RBA Research Discussion Papers rdp2006-12, Reserve Bank of Australia.
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