The House-Scale Effects of the COVID-19 Pandemic in the Italian Property Market

Pierluigi Morano, Felicia Di Liddo and Francesco Tajani ()
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Pierluigi Morano: Department of Civil, Environmental, Land, Building Engineering and Chemistry, Polytechnic University of Bari, 70125 Bari, Italy
Felicia Di Liddo: Department of Civil, Environmental, Land, Building Engineering and Chemistry, Polytechnic University of Bari, 70125 Bari, Italy
Francesco Tajani: Department of Architecture and Design, Sapienza University of Rome, 00196 Rome, Italy

Land, 2024, vol. 13, issue 10, 1-22

Abstract: The present research aims at identifying any changes in the market appreciations of the residential segment in Italy caused by the COVID-19 pandemic. With reference to the first half of 2023 (phase III, “post-COVID-19”), in the paper, a logical–operational methodology is implemented: a sample of properties sold in the two-month period January–February 2023 is collected and an econometric analysis is applied for determining (i) the most influential factors on selling prices and (ii) the functional links between prices and each selected explanatory variable. Furthermore, the findings obtained are compared with those related to the phases I, “ante-COVID-19”, and II, “COVID-19 in itinere” (by recalling a previous study of the same authors), to highlight the variations between the periods and provide useful guidelines for the design of domestic spaces in different Italian geographical contexts. In addition, this work conducts a comparison of the outputs derived from the econometric analysis starting from the real estate data collected on the reference markets (revealed preferences) with the results of a direct survey carried out on a sample of individuals through the administration of an ad hoc developed questionnaire and aimed at investigating the opinions of potential buyers of residential properties (stated preferences). The use of the “twin” approach (an analysis of perceptions via the direct survey integrated by the implementation of an econometric technique) allows us to verify the consistence of the real dynamics of market (expressed by the interviewees) with the mathematical model results for investigating the house-scale effects of the COVID-19 pandemic in the considered cities.

Keywords: housing market; residential properties; COVID-19 pandemic; domestic spaces; stated preference methods; revealed preference methods (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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