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Real Estate Price Measurement Since the Global Financial Crisis: Methods, Data and Policy Developments

Robert J. Hill & Miriam Steurer

Review of Income and Wealth2026https://doi.org/10.1111/roiw.70055article
AJG 3
Weight
0.50

What the paper says

The global financial crisis (GFC) highlighted the crucial role of real estate markets for financial stability and revealed significant weaknesses in the quality, timeliness, and coverage of real estate price indices. Since then, policymakers and statistical institutes have expanded the scope of residential and commercial real estate statistics and strengthened methodological guidance. This paper reviews key developments in real estate price measurement since the GFC, covering data availability, index methodology, and institutional infrastructure. We compare the strengths and weaknesses of the main index construction methods, including hedonic, repeat sales, hybrid and state‐space approaches, and discuss their relevance for both financial stability monitoring and cost‐of‐living measurement. Special attention is given to the challenges involved in compiling commercial real estate (CRE) price indices. We also examine new data sources—such as list prices, energy performance certificates and geospatial information—and recent work integrating machine learning tools into index compilation.

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https://doi.org/https://doi.org/10.1111/roiw.70055

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@article{robert2026,
  title        = {{Real Estate Price Measurement Since the Global Financial Crisis: Methods, Data and Policy Developments}},
  author       = {Robert J. Hill & Miriam Steurer},
  journal      = {Review of Income and Wealth},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/roiw.70055},
}

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Real Estate Price Measurement Since the Global Financial Crisis: Methods, Data and Policy Developments

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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