COMPARING WILLINGNESS TO PAY ESTIMATION MODELS FOR CONJOINT ANALYSIS: A CASE STUDY OF WILLINGNESS TO PAY FOR BIODEGRADABLE CONTAINERS FOR PLANTS

2012 ◽  
pp. 217-224
Author(s):  
C. Yue ◽  
C.R. Hall ◽  
B.K. Behe ◽  
B.L. Campbell ◽  
R.G. Lopez ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Conjoint Analysis ◽  
Estimation Models

Market Share Predictions: A New Model with Rating-Based Conjoint Analysis

2011 ◽  
Vol 53 (6) ◽  
pp. 831-857 ◽  
Author(s):  
Hervé Guyon ◽  
Jean-François Petiot
Keyword(s):  
Conjoint Analysis ◽  
Market Share ◽  
Probabilistic Models ◽  
Rating Scales ◽  
Rating Scale ◽  
New Model ◽  
Generic Term ◽  
Experimental Protocols ◽  
Estimation Models

Conjoint Analysis (CA) is a technique heavily used by industry in support of product development, pricing and positioning, and market share predictions. This generic term CA encompasses a variety of experimental protocols and estimation models (e.g. rating-based or choice-based), as well as several probabilistic models for predicting market share. As for the rating conjoint, existing probabilistic models from the literature cannot be considered as reliable because they suffer from the Independence of Irrelevant Alternatives (IIA) property, in addition to depending on an arbitrary rating scale selected by the experimenter. In this article, after a brief overview of CA and of models used for market share predictions, we propose a new model for market share predictions, RFC-BOLSE, which avoids the IIA problem, yields convergent results for different rating scales, and outputs predictions that match regression reliability. The model is described in details and simulations and a case study on truck tyres will illustrate the reliability of RFC-BOLSE.

Willingness to pay for ecosystem services of open oceans by choice-based conjoint analysis: A case study of Japanese residents

2015 ◽  
Vol 103 ◽  
pp. 1-8 ◽  
Author(s):  
Zhonghua Shen ◽  
Kazumi Wakita ◽  
Taro Oishi ◽  
Nobuyuki Yagi ◽  
Hisashi Kurokura ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Willingness To Pay ◽  
Conjoint Analysis ◽  
Japanese Residents

Consumers' Willingness to Pay for Locally Produced Ground Beef: A Case Study of the Rural Northern Great Plains

2013 ◽  
Vol 25 (1) ◽  
pp. 42-67 ◽  
Author(s):  
Kuo-Liang Chang ◽  
Pei Xu ◽  
Keith Underwood ◽  
Carlos Mayen ◽  
George Langelett
Keyword(s):  
Willingness To Pay ◽  
Great Plains ◽  
Ground Beef ◽  
Northern Great Plains

scholarly journals An Examination of Consumer Willingness to Pay for Local Products

2015 ◽  
Vol 44 (3) ◽  
pp. 253-274 ◽  
Author(s):  
Aaron Adalja ◽  
James Hanson ◽  
Charles Towe ◽  
Elina Tselepidakis
Keyword(s):  
Willingness To Pay ◽  
Conjoint Analysis ◽  
Random Sample ◽  
Local Food ◽  
Food Products ◽  
The Other ◽  
Local Production

We use data from hypothetical and nonhypothetical choice-based conjoint analysis to estimate willingness to pay for local food products. The survey was administered to three groups: consumers from a buying club with experience with local and grass-fed production markets, a random sample of Maryland residents, and shoppers at a nonspecialty Maryland supermarket. We find that random-sample and supermarket shoppers are willing to pay a premium for local products but view local and grass-fed production as substitutes. Conversely, buying-club members are less willing to pay for local production than the other groups but do not conflate local and grass-fed production.

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