1887

OECD Statistics Working Papers

The OECD Statistics Working Paper Series - managed by the OECD Statistics and Data Directorate – is designed to make available in a timely fashion and to a wider readership selected studies prepared by staff in the Secretariat or by outside consultants working on OECD projects. The papers included are of a technical, methodological or statistical policy nature and relate to statistical work relevant to the organisation. The Working Papers are generally available only in their original language - English or French - with a summary in the other.

Joint Working Papers:

Testing the evidence, how good are public sector responsiveness measures and how to improve them? (with OECD Public Governance Directorate)

Measuring Well-being and Progress in Countries at Different Stages of Development: Towards a More Universal Conceptual Framework (with OECD Development Centre)

Measuring and Assessing Job Quality: The OECD Job Quality Framework (with OECD Directorate for Employment, Labour and Social Affairs)

Forecasting GDP during and after the Great Recession: A contest between small-scale bridge and large-scale dynamic factor models (with OECD Economics Directorate)

Decoupling of wages from productivity: Macro-level facts (with OECD Economics Directorate)

Which policies increase value for money in health care? (with OECD Directorate for Employment, Labour and Social Affairs)

Compiling mineral and energy resource accounts according to the System of Environmental-Economic Accounting (SEEA) 2012 (with OECD Environment Directorate)

Anglais

Estimating regional house price levels

Methodology and results of a pilot project with Spain

While indices tracing the evolutions of regional house prices are increasingly available, this is less the case for similar data on house price levels. And where data on house price levels exist, they are not necessarily consistent with the patterns observed from house price indices. Yet, consistent regional statistics on house price levels are fundamental to assess housing affordability, potential barriers to labour mobility across regions, and for the design of housing policies. This article puts forward a method to compile regional house price levels that are consistent with the evolutions given by quality-adjusted house price indices, representative of the underlying stock of dwellings, and based on the information on house price levels that is available at all dates rather than in a single reference year. This method could be scaled up to different countries. The results obtained with Spanish data show that the decline in house prices following the global financial crisis of 2008-09 initially reduced the dispersion in house prices across Spanish regions, but this dispersion has increased again afterwards, and since 2016, it exceeds the one recorded in 2008. A comparison of price-per-m² to regional-income ratios shows that the relative housing affordability in the region of Madrid deteriorated compared to all other Spanish regions in the last decade. Monitoring whether shifts in housing demand following the COVID-19 pandemic will reverse this trend will be key.

Anglais

Mots-clés: regional statistics, spain, House price indices, House price levels
JEL: R32: Urban, Rural, Regional, Real Estate, and Transportation Economics / Real Estate Markets, Spatial Production Analysis, and Firm Location / Other Spatial Production and Pricing Analysis; R31: Urban, Rural, Regional, Real Estate, and Transportation Economics / Real Estate Markets, Spatial Production Analysis, and Firm Location / Housing Supply and Markets; C43: Mathematical and Quantitative Methods / Econometric and Statistical Methods: Special Topics / Index Numbers and Aggregation; Leading Indicators; C32: Mathematical and Quantitative Methods / Multiple or Simultaneous Equation Models; Multiple Variables / Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
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