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Sub-National Spatial Price Indexes for Housing: Methodological Issues and Computation for Italy

Benedetti Ilaria (), Laureti Tiziana () and Biggeri Luigi ()
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Laureti Tiziana: University of Tuscia, Via del Paradiso 47, 01100, Viterbo (VT), Italy.
Biggeri Luigi: The University of Florence, Viale Morgagni, 59, 50134 Firenze, 50134, Italy.

Journal of Official Statistics, 2022, vol. 38, issue 1, 57-82

Abstract: It is essential to measure within-country differences in housing costs in order to evaluate costs of living, assessing and comparing poverty levels, quantifying salaries and disposable income of families and finally for designing housing policies at local level. To the authors knowledge, no studies have yet been carried out on the computation of Space Price Indexes for Housing Rents (SPIHRs). In this article we computed preliminary estimates of sub-national SPIHRs by using hedonic regression model, which is an extension of the Country Product Dummy method, for all the Italian regions. The hedonic regression is generally used to obtain multilateral spatial indexes, thus allowing us to obtain multilateral SPIHRs for the Italian regions. The estimates have been done using 2017 data from the Real Estate Market Observatory which is a part of the Italian Agency of Revenue and Tax. This data source is the most comprehensive source of information on Italian houses price rents with a wide geographical coverage, including data for each Italian municipality. The obtained results show significant differences across the Italian regions, thus highlighting the importance of calculating SPIHR in Italy on a regular basis and the need to continue researches in this field.

Keywords: Spatial rental price indexes; hedonic regression; country product dummy method; symbolic data analysis (search for similar items in EconPapers)
Date: 2022
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DOI: 10.2478/jos-2022-0004

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Handle: RePEc:vrs:offsta:v:38:y:2022:i:1:p:57-82:n:8