Flexible Spatial and Temporal Hedonic Price Indexes for Housing in the Presence of Missing Data
AbstractWe propose a flexible hedonic methodology for computing house price indexes that uses multiple imputation (MI) to account for missing data (a huge problem in housing data sets). Ours is the first study to use MI in this context. We also allow for spatial correlation, include interaction terms between characteristics, between regions and periods, and between regions and characteristics, and break the regressions up into overlapping blocks of five consecutive periods (quarters in our case). These features ensure that the shadow prices are flexible both across regions and time. This flexible structure makes the derivation of price indexes from the estimated regression equations far from straightforward. We develop innovative methods for resolving this problem and for splicing the overlapping blocks together to generate the overall panel results. We then use our methodology to construct temporal and spatial price indexes for 15 regions in Sydney, Australia on a quarterly basis from 2001 to 2006 and combine them to obtain an overall price index for Sydney. Our hedonic indexes differ quite significantly from the official index for Sydney published by the Australian Bureau of Statistics. We also find clear evidence of convergence in prices across regions from 2001-3 (while prices were rising), and divergence thereafter. We conclude by exploring some of the implications of these empirical findings.
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Bibliographic InfoPaper provided by School of Economics, The University of New South Wales in its series Discussion Papers with number 2008-14.
Length: 64 pages
Date of creation: Oct 2008
Date of revision:
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Postal: Australian School of Business Building, Sydney 2052
Fax: +61)-2- 9313- 6337
Web page: http://www.economics.unsw.edu.au/
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Real estate; House prices; Hedonic price index; Missing data; Multiple imputation; Spatial correlation;
Find related papers by JEL classification:
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- 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-2008-11-04 (All new papers)
- NEP-GEO-2008-11-04 (Economic Geography)
- NEP-MAC-2008-11-04 (Macroeconomics)
- NEP-URE-2008-11-04 (Urban & Real Estate Economics)
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- Robert J. Hill & Daniel Melser & Iqbal Syed, 2009.
"Measuring a Boom and Bust: The Sydney Housing Market 2001-2006,"
2009-08, School of Economics, The University of New South Wales.
- Hill, Robert J. & Melser, Daniel & Syed, Iqbal, 2009. "Measuring a boom and bust: The Sydney housing market 2001-2006," Journal of Housing Economics, Elsevier, vol. 18(3), pages 193-205, September.
- Alicia Rambaldi & Prasada Rao, 2011. "Hedonic Predicted House Price Indices Using Time-Varying Hedonic Models with Spatial Autocorrelation," Discussion Papers Series 432, School of Economics, University of Queensland, Australia.
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