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Measuring a Boom and Bust: The Sydney Housing Market 2001-2006

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Author Info
Robert J. Hill () (School of Economics, University of New South Wales)
Daniel Melser () (Department of Economics, Monash University)
Iqbal Syed () (School of Economics, University of New South Wales)

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Abstract

The Sydney housing market peaked in 2003. The period 2001-2006 is, therefore, of particular interest since it captures a boom and bust in the housing market. We compute hedonic, repeat-sales and median price indexes for five regions in Sydney over this period. While the three approaches are in broad agreement regarding the timing of the turning point in the housing market, some important differences also emerge. In particular, we find evidence of sample selection bias in our hedonic and repeat-sales data sets, which in turn seems to generate bias (although in opposite directions) in our hedonic and repeat-sales indexes. The median indexes also may be biased as a result of an apparent decline in the average quality of houses sold in the latter part of the sample. Although in this case the repeat-sales indexes seem to generate the most reliable results, we nevertheless in general favor the hedonic approach. We also find evidence of convergence in prices across regions during the boom and divergence in the subsequent bust.

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Publisher Info
Paper provided by School of Economics, The University of New South Wales in its series Discussion Papers with number 2009-08.

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Length: 29 pages
Date of creation: May 2009
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Handle: RePEc:swe:wpaper:2009-08

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Related research
Keywords: House prices; Price index; Hedonic regression; Repeat-Sales index; Sample selection bias; Convergence;

Find related papers by JEL classification:
C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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References listed on IDEAS
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  1. Kees Jan Van Garderen & Chandra Shah, 2002. "Exact interpretation of dummy variables in semilogarithmic equations," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 149-159, June. [Downloadable!] (restricted)
  2. Sala-i-Martin, Xavier X, 1996. "The Classical Approach to Convergence Analysis," Economic Journal, Royal Economic Society, vol. 106(437), pages 1019-36, July. [Downloadable!] (restricted)
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  3. Bourassa, Steven C. & Hoesli, Martin & Sun, Jian, 2006. "A simple alternative house price index method," Journal of Housing Economics, Elsevier, vol. 15(1), pages 80-97, March. [Downloadable!] (restricted)
  4. Karl E. Case & Robert J. Shiller, 1989. "The Efficiency of the Market for Single-Family Homes," NBER Working Papers 2506, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  5. Basu, Sabyasachi & Thibodeau, Thomas G, 1998. "Analysis of Spatial Autocorrelation in House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 61-85, July. [Downloadable!] (restricted)
  6. Eric Clapham & Peter Englund & John M. Quigley & Christian L. Redfearn, 2006. "Revisiting the Past and Settling the Score: Index Revision for House Price Derivatives," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(2), pages 275-302, 06. [Downloadable!] (restricted)
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  7. Clapp, John M & Giaccotto, Carmelo, 1992. "Estimating Price Trends for Residential Property: A Comparison of Repeat Sales and Assessed Value Methods," The Journal of Real Estate Finance and Economics, Springer, vol. 5(4), pages 357-74, December.
  8. Gatzlaff, Dean H. & Haurin, Donald R., 1998. "Sample Selection and Biases in Local House Value Indices," Journal of Urban Economics, Elsevier, vol. 43(2), pages 199-222, March. [Downloadable!] (restricted)
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