Identification of relationship between housing difficulty and property values in urban areas
AbstractThe objective of the present work is to use statistical data to identify territorial zones characterized by the correlation between urban access to services and quality of housing and the value of property ownership. While poverty is widely accepted to be an inherently multi-dimensional concept, it has proved very difficult to develop measures that both capture this multidimensionality and make comparisons over time and space easy. With this in mind, we attempt to apply a Total Fuzzy and Relative (TFR) approach, based on a fuzzy measure of the degree of association of an individual to the totality of the poor and an approach of semantic distance (Munda, 1995), based on the definition of a “fuzzy distance” as a discriminating reference to rank the availability to property in real estate market, as complement of urban poverty, in a specific case (the Italian City of Bari).
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 10970.
Date of creation: Oct 2008
Date of revision:
Urban Difficulty; Scan Statistics; Fuzzy logic; Property appraisal;
Find related papers by JEL classification:
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-10-21 (All new papers)
- NEP-GEO-2008-10-21 (Economic Geography)
- NEP-URE-2008-10-21 (Urban & Real Estate Economics)
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