The Joint Identification of Utility and Discount Functions from Stated Choice Data: An Application to Durable Goods Adoption

2012 ◽  
Author(s):  
Jean-Pierre H. Dube ◽  
Guenter J. Hitsch ◽  
Pranav Jindal
Keyword(s):  
Durable Goods ◽  
Stated Choice ◽  
Choice Data ◽  
Joint Identification

scholarly journals The Joint Identification of Utility and Discount Functions From Stated Choice Data: An Application to Durable Goods Adoption

2012 ◽  
Author(s):  
Jean-Pierre Dube ◽  
Günter Hitsch ◽  
Pranav Jindal
Keyword(s):  
Durable Goods ◽  
Stated Choice ◽  
Choice Data ◽  
Joint Identification

The Joint identification of utility and discount functions from stated choice data: An application to durable goods adoption

2014 ◽  
Vol 12 (4) ◽  
pp. 331-377 ◽  
Author(s):  
Jean-Pierre Dubé ◽  
Günter J. Hitsch ◽  
Pranav Jindal
Keyword(s):  
Durable Goods ◽  
Stated Choice ◽  
Choice Data ◽  
Joint Identification

Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture

2009 ◽  
Vol 40 (3) ◽  
pp. 307-322 ◽  
Author(s):  
Sergio Colombo ◽  
Nick Hanley ◽  
Jordan Louviere
Keyword(s):  
Public Goods ◽  
Preference Heterogeneity ◽  
Stated Choice ◽  
Choice Data

Multiple herbicide use in cropland: A discrete continuous model for stated choice data

2021 ◽  
pp. 092520-0150R1
Author(s):  
Andrea Pellegrini ◽  
John Rose ◽  
Riccardo Scarpa
Keyword(s):  
Continuous Model ◽  
Stated Choice ◽  
Choice Data ◽  
Herbicide Use

Understanding suburban travel demand: Flexible modelling with revealed and stated choice data

2007 ◽  
Vol 41 (10) ◽  
pp. 899-912 ◽  
Author(s):  
Raquel Espino ◽  
Juan de Dios Ortúzar ◽  
Concepción Román
Keyword(s):  
Travel Demand ◽  
Stated Choice ◽  
Choice Data

Identifying a behaviourally relevant choice set from stated choice data

2014 ◽  
Vol 43 (2) ◽  
pp. 197-217 ◽  
Author(s):  
David A. Hensher ◽  
Chinh Ho
Keyword(s):  
Stated Choice ◽  
Choice Data ◽  
Choice Set

scholarly journals Detecting dominance in stated choice data and accounting for dominance-based scale differences in logit models

2017 ◽  
Vol 102 ◽  
pp. 83-104 ◽  
Author(s):  
Michiel C.J. Bliemer ◽  
John M. Rose ◽  
Caspar G. Chorus
Keyword(s):  
Logit Models ◽  
Stated Choice ◽  
Choice Data

scholarly journals Non-trading, lexicographic and inconsistent behaviour in stated choice data

2010 ◽  
Vol 15 (7) ◽  
pp. 405-417 ◽  
Author(s):  
Stephane Hess ◽  
John M. Rose ◽  
John Polak
Keyword(s):  
Stated Choice ◽  
Choice Data

scholarly journals Congestion management in protected areas: accounting for respondents’ inattention and preference heterogeneity in stated choice data

2018 ◽  
Vol 46 (5) ◽  
pp. 834-861 ◽  
Author(s):  
Mara Thiene ◽  
Cristiano Franceschinis ◽  
Riccardo Scarpa
Keyword(s):  
Protected Areas ◽  
Latent Class ◽  
Congestion Management ◽  
Model Fit ◽  
Destination Choice ◽  
Preference Heterogeneity ◽  
Stated Choice ◽  
Random Parameters ◽  
Choice Data ◽  
Traditional Approaches

Abstract Congestion levels in protected areas can be predicted by destination choice models estimated from choice data. There is growing evidence of subjects’ inattention to attributes in choice experiments. We estimate an attribute non-attendance latent class–random parameters model (LC–RPL) that jointly handles inattention and preference heterogeneity. We use data from a choice experiment designed to elicit visitors’ preferences towards sustainable management of a protected area in the Italian Alps. Results show that the LC–RPL model produces improvements in model fit and reductions in the implied rate of inattention, as compared to traditional approaches. Implications of results for park management authorities are discussed.

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