CCP Estimation of Dynamic Discrete/Continuous Choice Models with Generalized Finite Dependence and Correlated Unobserved Heterogeneity

2017 ◽  
Author(s):  
Wayne-Roy Gayle
Keyword(s):  
Unobserved Heterogeneity ◽  
Choice Models ◽  
Continuous Choice ◽  
Discrete Continuous Choice

Multiple discrete-continuous choice models with bounds on consumptions

2021 ◽  
Vol 149 ◽  
pp. 237-265
Author(s):  
Shobhit Saxena ◽  
Abdul Rawoof Pinjari ◽  
Ananya Roy ◽  
Rajesh Paleti
Keyword(s):  
Choice Models ◽  
Continuous Choice ◽  
Discrete Continuous Choice

scholarly journals GISwaps

2018 ◽  
Vol 10 (3) ◽  
pp. 57-78
Author(s):  
Goran Milutinovic ◽  
Ulla Ahonen-Jonnarth ◽  
Stefan Seipel
Keyword(s):  
Choice Models ◽  
New Method ◽  
Pairwise Comparisons ◽  
Value Functions ◽  
Aggregation Method ◽  
Decision Space ◽  
Weighting Method ◽  
Continuous Choice ◽  
Trade Offs

This article describes how continuous GIS-MCDM problems are commonly managed by combining some weighting method based on pairwise comparisons of criteria with an aggregation method. The reliability of this approach may be questioned, though. First, assigning weights to criteria, without taking into consideration the actual consequences or values of the alternatives, is in itself controversial. Second, the value functions obtained by this approach are in most cases linear, which is seldom the case in reality. The authors present a new method for GIS-MCDM in continuous choice models based on Even Swaps. The method is intuitive and easy to use, based on value trade-offs, and thus not relying on criteria weighting. Value functions obtained when using the method may be linear or non-linear, and thereby are more sensitive to the characteristics of the decision space. The performed case study showed promising results regarding the reliability of the method in GIS-MCDM context.

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