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A Choice Model with Systematic Structures in Decision Weights AgEcon
Hu, Wuyang.
This article introduces a discrete choice model which incorporates a nonlinear structural adjustment to the standard utility coefficients or decision weights. The proposed model is theoretically and empirically appealing when compared to several alternative approaches, and it can be estimated by conventional maximum likelihood. Application of the proposed model in a case study shows that it outperforms two competing approaches in model fit. Given its simplicity, this model is also capable of revealing consumers' heterogeneous choices. It is shown that based on consumers' different characteristics, their product choice and its welfare implications are also potentially different.
Tipo: Journal Article Palavras-chave: Logit models; Stated choice; Structural adjustment; Weights; Demand and Price Analysis.
Ano: 2007 URL: http://purl.umn.edu/7076
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Exploring Heterogeneity in Consumers’ Meat Store Choices in an Emerging Market AgEcon
Hu, Wuyang.
Chinese consumers’ choices among meat stores are examined through a model that can capture consumer heterogeneities both in their opinion of various store attributes and in how much weight they attach to each attribute. This approach not only informs store managers as to what attributes should receive focus for improving their store images, but also provides insight about which specific attribute could be improved to achieve the most effective result. Based on the individual-level parameters obtained through an empirical Bayes analysis, managers or competitors are able to strategically target their store promotions to specific individual consumers based on their demographic characteristics.
Tipo: Journal Article Palavras-chave: Heterogeneity; Individual-level parameters; Logit models; Meat store; Livestock Production/Industries; Research and Development/Tech Change/Emerging Technologies.
Ano: 2006 URL: http://purl.umn.edu/62275
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