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Long-term regional house prices cycles. A city-based index for Italy

Laura Gabrielli (Department of Architecture, University of Ferrara, Ferrara, Italy)
Paloma Taltavull de La Paz (Department of Applied Economics, University of Alicante, Alicante, Spain)
Armando Ortuño Padilla (Department of Building and Urbanism, University of Alicante, Alicante, Spain)

Journal of European Real Estate Research

ISSN: 1753-9269

Article publication date: 6 November 2017

226

Abstract

Purpose

This paper aims to present the dynamics of housing prices in Italian cities based on unpublished data with regional details from the late 1960s, half-yearly base, for all main Italian cities measuring the average prices for three city dimensions: city centre, sub-centres and outskirts or suburbs. It estimates the Italian long-term house price index, city based in real terms, and shows a combination of methods to deal with large time-series data.

Design/methodology/approach

This paper builds long-term cycles based on the city (real) data by estimating the common components of cointegrated time series and extracting the unobservable signals to build real house price index for sub-regions in Italy. Three different econometric methodologies are used: Johansen cointegration test and VAR models to identify the long-term pattern of prices at the estimated aggregate level; principal components to obtain the common (permanent and transitory) components; and signal extraction in ARIMA time series–model-based approach method to extract the unobserved time signals.

Findings

Results show three long-term cycle-trends during the period and identify several one-direction causal non-permanent relationships among house prices from different Italian areas. There is no evidence of convergence among regional’s house prices suggesting that the Italian housing prices converge inside the local market with only short diffusion effects at larger regional level.

Research limitations/implications

Data are measured as the average price in squared meters, and the resulting index is not quality controlled.

Practical implications

The long-term trends on housing prices serve to implement further research and know deeply the evolution of Italian housing prices.

Originality/value

This paper contains new and unknown information about the evolution of housing prices in Italian regions and cities.

Keywords

Acknowledgements

The authors want to thank two anonymous referees for their comments and suggestions which have contributed substantially to the quality of this paper. The authors also thank the Editor for his support.

Citation

Gabrielli, L., Taltavull de La Paz, P. and Ortuño Padilla, A. (2017), "Long-term regional house prices cycles. A city-based index for Italy", Journal of European Real Estate Research, Vol. 10 No. 3, pp. 303-330. https://doi.org/10.1108/JERER-05-2017-0019

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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