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Real estate market and building energy performance: Data for a mass appraisal approach

Mass appraisal is widely considered an advanced frontier in the real estate valuation field. Performing mass appraisal entails the need to get access to base information conveyed by a large amount of transactions, such as prices and property features. Due to the lack of transparency of many Italian...

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Detalles Bibliográficos
Autores principales: Bonifaci, Pietro, Copiello, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4689110/
https://www.ncbi.nlm.nih.gov/pubmed/26793751
http://dx.doi.org/10.1016/j.dib.2015.11.027
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author Bonifaci, Pietro
Copiello, Sergio
author_facet Bonifaci, Pietro
Copiello, Sergio
author_sort Bonifaci, Pietro
collection PubMed
description Mass appraisal is widely considered an advanced frontier in the real estate valuation field. Performing mass appraisal entails the need to get access to base information conveyed by a large amount of transactions, such as prices and property features. Due to the lack of transparency of many Italian real estate market segments, our survey has been addressed to gather data from residential property advertisements. The dataset specifically focuses on property offer prices and dwelling energy efficiency. The latter refers to the label expressed and exhibited by the energy performance certificate. Moreover, data are georeferenced with the highest possible accuracy: at the neighborhood level for a 76.8% of cases, at street or building number level for the remaining 23.2%. Data are related to the analysis performed in Bonifaci and Copiello [1], about the relationship between house prices and building energy performance, that is to say, the willingness to pay in order to benefit from more efficient dwellings.
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spelling pubmed-46891102016-01-20 Real estate market and building energy performance: Data for a mass appraisal approach Bonifaci, Pietro Copiello, Sergio Data Brief Data Article Mass appraisal is widely considered an advanced frontier in the real estate valuation field. Performing mass appraisal entails the need to get access to base information conveyed by a large amount of transactions, such as prices and property features. Due to the lack of transparency of many Italian real estate market segments, our survey has been addressed to gather data from residential property advertisements. The dataset specifically focuses on property offer prices and dwelling energy efficiency. The latter refers to the label expressed and exhibited by the energy performance certificate. Moreover, data are georeferenced with the highest possible accuracy: at the neighborhood level for a 76.8% of cases, at street or building number level for the remaining 23.2%. Data are related to the analysis performed in Bonifaci and Copiello [1], about the relationship between house prices and building energy performance, that is to say, the willingness to pay in order to benefit from more efficient dwellings. Elsevier 2015-11-24 /pmc/articles/PMC4689110/ /pubmed/26793751 http://dx.doi.org/10.1016/j.dib.2015.11.027 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Bonifaci, Pietro
Copiello, Sergio
Real estate market and building energy performance: Data for a mass appraisal approach
title Real estate market and building energy performance: Data for a mass appraisal approach
title_full Real estate market and building energy performance: Data for a mass appraisal approach
title_fullStr Real estate market and building energy performance: Data for a mass appraisal approach
title_full_unstemmed Real estate market and building energy performance: Data for a mass appraisal approach
title_short Real estate market and building energy performance: Data for a mass appraisal approach
title_sort real estate market and building energy performance: data for a mass appraisal approach
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4689110/
https://www.ncbi.nlm.nih.gov/pubmed/26793751
http://dx.doi.org/10.1016/j.dib.2015.11.027
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