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La Conjoint Analysis (CA) nelle valutazioni immobiliari
Aestimum
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| Title |
La Conjoint Analysis (CA) nelle valutazioni immobiliari
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| Creator |
Bravi, Marina
Giaccaria, Sergio |
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| Description |
Conjoint Analysis (CA) is probably the most known and widely used tool in marketing research and demand forecasting. The premise of CA is that every product, or service, has multiple attributes, each with a different utility value for the consumer and that individual utilities can be quantified and assessed in a market simulation perspective. In spite of its popularity and wide diffusion, there has been little systematic research relating to the specific market – like the real estate market. Our work starts from this lack and it is organised in three sections: the first introduces a short history of CA and compares the performances of different interview designs: Adaptive Conjoint Analysis (ACA) and Choice Based Conjoint (CBC). The second section presents the case-study – the housing market of Turin – and shows the results of a research experiment. We compare ACA and CBC designs and discuss about the best when the goal is valuation – in other hands, the price is present between the attributes. The third section concludes and focuses on the problem of real estate market simulation and demand forecasting.
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| Publisher |
Aestimum
Aestimum |
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| Contributor |
—
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| Date |
2009-06-01
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — — |
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| Format |
application/pdf
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| Identifier |
http://www.fupress.net/index.php/ceset/article/view/6237
http://www.fupress.net/index.php/ceset/article/download/6237/5738 10.13128/Aestimum-6237 |
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| Source |
Aestimum; Aestimum 48 (2006)
Aestimum; Aestimum 48 (2006) 1724-2118 1592-6117 |
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| Language |
ita
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| Relation |
10.13128/Aestimum-6237
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| Rights |
The authors retain all rights to the original work without any restrictions.License for Published ContentsYou are free to copy, distribute and transmit the work, and to adapt the work. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).Licence scheme | Legal codeLicense for MetadataAestimum published articles metadata are dedicated to the public domain by waiving all publisher's rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.Licence scheme | Legal code
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