Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/59079
Authors: 
Ramírez-Hurtado, José Manuel
Year of Publication: 
2010
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 9 [Year:] 2010 [Pages:] 28-43
Abstract: 
When there are many attributes, experiments with Conjoint Analysis include problems of information overload that affect the validity of such experiments. The impact of these problems can be avoided or reduced by using Hierarchical Information Integration (HII). The present work aims to demonstrate how the integrated experiments can resolve the limitations arising in Conjoint Analysis and HII, and to further establish ways to proceed in these types of situations. A variation of Louviere's (1984) original HII model, roposed by Oppewal et al. (1994), is applied in this work for the selection of mobile phones.
Subjects: 
Conjoint Analysis
Hierarchical Information Integration
preferences
JEL: 
C35
C99
L63
Document Type: 
Article

Files in This Item:
File
Size
300.08 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.