Measuring Heterogeneous Preferences for Cattle Traits among Cattle‐Keeping Households in East Africa

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Willingness to Pay for Multiple Seafood Labels in a Niche Market (2014, methodology): “Effects coding was used in this case because dummy coding leads to perfect confoundment between label attributes and the optout alternative (Ouma, Abdulai, and Drucker 2007).”
Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach (2010, methodology): “conditional and nested logit models) have dominated the recreational demand literature (Ouma et al., 2007; Hynes et al., 2008), recently models have been developed to test for preference heterogeneity across individuals (Provencher et al.”
Modeling heterogeneity in consumer preferences for select food safety attributes in China (2011, background): “This probability can be modeled as in the following (Ouma et al., 2007): ∑ (6)”
Consumer Preferences for Animal Welfare Attributes: The Case of Gestation Crates (2009, methodology): “, ) where is a vector of observed attributes associated with alternative j and is a class- specific utility parameter vector (Ouma, Abdulai, and Drucker, 2007). ijtx sB Estimated coefficients from random utility models themselves have little interpretive value.”