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Temme D, Paulssen M, Dannewald T (2008). Incorporating Latent Variables into Discrete Choice Models - A Simultaneous Estimation Approach Using SEM Software. BuR - Business Research, Vol. 1, Iss. 2, pp. 220-237, URN: urn:nbn:de:0009-20-16598

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%0 Journal Article
%T Incorporating Latent Variables into Discrete Choice Models - A Simultaneous Estimation Approach Using SEM Software
%A Temme, Dirk
%A Paulssen, Marcel
%A Dannewald, Till
%J BuR - Business Research
%D 2008
%V 1
%N 2
%@ 1866-8658
%F temme2008
%X Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, applications of ICLV models in marketing remain rare. We extend previous ICLVapplications by first estimating a multinomial choice model and, second, by estimating hierarchical relations between latent variables. An empirical study on travel mode choice clearly demonstrates the value of ICLV models to enhance the understanding of choice processes. In addition to the usually studied directly observable variables such as travel time, we show how abstract motivations such as power and hedonism as well as attitudes such as a desire for flexibility impact on travel mode choice. Furthermore, we show that it is possible to estimate such a complex ICLV model with the widely available structural equation modeling package Mplus. This finding is likely to encourage more widespread application of this appealing model class in the marketing field.
%L 330
%K hybrid choice models
%K marketing
%K mode choice
%K mplus
%K value-attitude hierarchy
%U http://nbn-resolving.de/urn:nbn:de:0009-20-16598
%P 220-237

Bibtex

@Article{temme2008,
  author = 	"Temme, Dirk
		and Paulssen, Marcel
		and Dannewald, Till",
  title = 	"Incorporating Latent Variables into Discrete Choice Models - A Simultaneous Estimation Approach Using SEM Software",
  journal = 	"BuR - Business Research",
  year = 	"2008",
  volume = 	"1",
  number = 	"2",
  pages = 	"220--237",
  keywords = 	"hybrid choice models",
  keywords = 	"marketing",
  keywords = 	"mode choice",
  keywords = 	"mplus",
  keywords = 	"value-attitude hierarchy",
  abstract = 	"Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, applications of ICLV models in marketing remain rare. We extend previous ICLVapplications by first estimating a multinomial choice model and, second, by estimating hierarchical relations between latent variables. An empirical study on travel mode choice clearly demonstrates the value of ICLV models to enhance the understanding of choice processes. In addition to the usually studied directly observable variables such as travel time, we show how abstract motivations such as power and hedonism as well as attitudes such as a desire for flexibility impact on travel mode choice. Furthermore, we show that it is possible to estimate such a complex ICLV model with the widely available structural equation modeling package Mplus. This finding is likely to encourage more widespread application of this appealing model class in the marketing field.",
  issn = 	"1866-8658",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-20-16598"
}

RIS

TY  - JOUR
AU  - Temme, Dirk
AU  - Paulssen, Marcel
AU  - Dannewald, Till
PY  - 2008//
TI  - Incorporating Latent Variables into Discrete Choice Models - A Simultaneous Estimation Approach Using SEM Software
JO  - BuR - Business Research
SP  - 220
EP  - 237
VL  - 1
IS  - 2
KW  - hybrid choice models
KW  - marketing
KW  - mode choice
KW  - mplus
KW  - value-attitude hierarchy
N2  - Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, applications of ICLV models in marketing remain rare. We extend previous ICLVapplications by first estimating a multinomial choice model and, second, by estimating hierarchical relations between latent variables. An empirical study on travel mode choice clearly demonstrates the value of ICLV models to enhance the understanding of choice processes. In addition to the usually studied directly observable variables such as travel time, we show how abstract motivations such as power and hedonism as well as attitudes such as a desire for flexibility impact on travel mode choice. Furthermore, we show that it is possible to estimate such a complex ICLV model with the widely available structural equation modeling package Mplus. This finding is likely to encourage more widespread application of this appealing model class in the marketing field.
SN  - 1866-8658
UR  - http://nbn-resolving.de/urn:nbn:de:0009-20-16598
ID  - temme2008
ER  - 

Wordbib

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ISI

PT Journal
AU Temme, D
   Paulssen, M
   Dannewald, T
TI Incorporating Latent Variables into Discrete Choice Models - A Simultaneous Estimation Approach Using SEM Software
SO BuR - Business Research
PY 2008
BP 220
EP 237
VL 1
IS 2
DE hybrid choice models; marketing; mode choice; mplus; value-attitude hierarchy
AB Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, applications of ICLV models in marketing remain rare. We extend previous ICLVapplications by first estimating a multinomial choice model and, second, by estimating hierarchical relations between latent variables. An empirical study on travel mode choice clearly demonstrates the value of ICLV models to enhance the understanding of choice processes. In addition to the usually studied directly observable variables such as travel time, we show how abstract motivations such as power and hedonism as well as attitudes such as a desire for flexibility impact on travel mode choice. Furthermore, we show that it is possible to estimate such a complex ICLV model with the widely available structural equation modeling package Mplus. This finding is likely to encourage more widespread application of this appealing model class in the marketing field.
ER

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  <abstract>Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, applications of ICLV models in marketing remain rare. We extend previous ICLV
applications by first estimating a multinomial choice model and, second, by estimating hierarchical relations between latent variables. An empirical study on travel mode choice clearly demonstrates the value of ICLV models to enhance the understanding of choice processes. In addition to the usually studied directly observable variables such as travel time, we show how abstract motivations such as power and hedonism as well as attitudes such as a desire for flexibility impact on travel mode choice. Furthermore, we show that it is possible to estimate such a complex ICLV model with the widely available structural equation modeling package Mplus. This finding is likely to encourage more widespread application of this appealing model class in the marketing field.</abstract>
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    <topic>hybrid choice models</topic>
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Issues 2008
Volume 1 | Issue 2 | December 2008
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Volume 1 | Issue 1 | May 2008
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