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Data from RE distressed market: Properties auctions in Italy

This paper reports data describing Real Estate (RE) distressed market, focusing on properties foreclosures occurred in North-East Italy. A survey was carried out consulting financial institutions, courts of law and different associations of public notaries. The aim of this survey was to record RE au...

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Detalles Bibliográficos
Autores principales: Canesi, Rubina, Marella, Giuliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996220/
https://www.ncbi.nlm.nih.gov/pubmed/29896519
http://dx.doi.org/10.1016/j.dib.2018.03.009
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author Canesi, Rubina
Marella, Giuliano
author_facet Canesi, Rubina
Marella, Giuliano
author_sort Canesi, Rubina
collection PubMed
description This paper reports data describing Real Estate (RE) distressed market, focusing on properties foreclosures occurred in North-East Italy. A survey was carried out consulting financial institutions, courts of law and different associations of public notaries. The aim of this survey was to record RE auctions, collecting technical and socio-economic features. The novelties of this survey are mainly two. The first consists in the dataset itself, due to the difficult in collecting such type of data in the Italian scenario. The second one is the recording of socio-economic features related to the occurrence of the survived Re auction. The collected socio-economic characteristics regard housing market trends and performance as well as demographic features. These features could be analyzed in order to relate the performances of this type of distressed market and the surrounding urban context. The database come from an analysis of the authors regarding the discount existing between the Forced Sale Price and the Market value, assessed by appraisers.
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spelling pubmed-59962202018-06-12 Data from RE distressed market: Properties auctions in Italy Canesi, Rubina Marella, Giuliano Data Brief Economics, Econometrics and Finances    This paper reports data describing Real Estate (RE) distressed market, focusing on properties foreclosures occurred in North-East Italy. A survey was carried out consulting financial institutions, courts of law and different associations of public notaries. The aim of this survey was to record RE auctions, collecting technical and socio-economic features. The novelties of this survey are mainly two. The first consists in the dataset itself, due to the difficult in collecting such type of data in the Italian scenario. The second one is the recording of socio-economic features related to the occurrence of the survived Re auction. The collected socio-economic characteristics regard housing market trends and performance as well as demographic features. These features could be analyzed in order to relate the performances of this type of distressed market and the surrounding urban context. The database come from an analysis of the authors regarding the discount existing between the Forced Sale Price and the Market value, assessed by appraisers. Elsevier 2018-03-08 /pmc/articles/PMC5996220/ /pubmed/29896519 http://dx.doi.org/10.1016/j.dib.2018.03.009 Text en © 2018 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 Economics, Econometrics and Finances   
Canesi, Rubina
Marella, Giuliano
Data from RE distressed market: Properties auctions in Italy
title Data from RE distressed market: Properties auctions in Italy
title_full Data from RE distressed market: Properties auctions in Italy
title_fullStr Data from RE distressed market: Properties auctions in Italy
title_full_unstemmed Data from RE distressed market: Properties auctions in Italy
title_short Data from RE distressed market: Properties auctions in Italy
title_sort data from re distressed market: properties auctions in italy
topic Economics, Econometrics and Finances   
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996220/
https://www.ncbi.nlm.nih.gov/pubmed/29896519
http://dx.doi.org/10.1016/j.dib.2018.03.009
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AT marellagiuliano datafromredistressedmarketpropertiesauctionsinitaly