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Q3 Social Sciences Pub Date : 2023-01-13 DOI: 10.59072/rper.vi63.595
José Cadima Ribeiro
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引用次数: 0
House price indexes: an empirical exercise using spatial data analysis. 房价指数:空间数据分析的实证研究。
Q3 Social Sciences Pub Date : 2023-01-13 DOI: 10.59072/rper.vi63.30
Miguel Viegas, João Marques, Paulo Batista
The housing market occupies a central place within any society. Residential property represents the essential parts of most families’ wealth, as well as a substantial part of their monthly expenditure. It also represents a large fraction of private investment, generating significant earnings. However, and despite this importance, the compilation of reliable residential property price indexes (RPPI) is far from satisfactory in Portugal, revealing an important gap in the field of statistical information. The construction of a residential property price index (RPPI) poses particular problems arising from the inherent nature of the object concerned. Considering the gap in Portugal regarding the lack of a sufficiently enlarged database allowing the compilation of reliable RPPIs, this article seeks to contribute to this area, proposing a methodology applied to the urban area of Aveiro and Ílhavo by means of a spatial data analysis.
房地产市场在任何社会中都占有中心地位。住宅物业是大多数家庭财富的重要组成部分,也是他们每月支出的很大一部分。它还代表了私人投资的很大一部分,产生了可观的收益。然而,尽管如此重要,葡萄牙可靠的住宅房地产价格指数(RPPI)的编制远不能令人满意,这揭示了统计信息领域的重要差距。住宅物业价格指数(RPPI)的建立由于有关对象的固有性质而引起特殊问题。考虑到葡萄牙缺乏一个足够扩大的数据库来汇编可靠的区域购买力指数,本文试图对这一领域作出贡献,提出一种通过空间数据分析适用于阿威罗市区和Ílhavo的方法。
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Revista Portuguesa de Estudos Regionais
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