This paper discusses the differences between Multinomial Logit, Random Coefficients Mixed Logit and Latent Class Choice models in terms of taste heterogeneity, correlation between coefficients, and elasticities. Formulae for correlation and elasticities are presented for the Latent Class Choice model, and an empirical analysis is conducted to highlight the differences between the models on real world data. The paper highlights a number of advantages of the Latent Class Choice model, notably in terms of linking taste het-erogeneity, inter-coefficient correlation and elasticities to socio-demographic attributes.
Discovering the preferences and the behaviour of consumers is a key challenge in marketing. Informat...
This paper analyses whether self-reported valuation of goods is an adequate proxy for underlying tas...
In the current issue of Environmental and Resource Economics, Morey et al. (2006) discuss a new appr...
While there is general agreement that consumer taste heterogeneity is crucially important in marketi...
With the growing interest in the topic of attribute non-attendance, there is now widespread use of l...
With the growing interest in the topic of attribute non-attendance, there is now widespread use of l...
Multi-attribute revealed preference data is used to investigate the heterogeneity of tastes in a sam...
Latent class models offer an alternative perspective to the popular mixed logit form, replacing the ...
Researchers using revealed preference data have mostly relied on the Mixed Logit (ML) framework to m...
There is growing interest in establishing a mechanism to account for scale heterogeneity across indi...
When modeling demand for differentiated products, it is vital to adequately capture consumer taste h...
Heterogeneous tastes across consumers can be captured by random coefficients in a mixed logit (ML) m...
Artículo de publicación ISILatent class models are a convenient and intuitive way to introduce taste...
This thesis is a collection of four papers; one centred on a policy application of Contingent Valuat...
Understanding and accommodating heterogeneity in variance (also referred to as heteroscedasticity) a...
Discovering the preferences and the behaviour of consumers is a key challenge in marketing. Informat...
This paper analyses whether self-reported valuation of goods is an adequate proxy for underlying tas...
In the current issue of Environmental and Resource Economics, Morey et al. (2006) discuss a new appr...
While there is general agreement that consumer taste heterogeneity is crucially important in marketi...
With the growing interest in the topic of attribute non-attendance, there is now widespread use of l...
With the growing interest in the topic of attribute non-attendance, there is now widespread use of l...
Multi-attribute revealed preference data is used to investigate the heterogeneity of tastes in a sam...
Latent class models offer an alternative perspective to the popular mixed logit form, replacing the ...
Researchers using revealed preference data have mostly relied on the Mixed Logit (ML) framework to m...
There is growing interest in establishing a mechanism to account for scale heterogeneity across indi...
When modeling demand for differentiated products, it is vital to adequately capture consumer taste h...
Heterogeneous tastes across consumers can be captured by random coefficients in a mixed logit (ML) m...
Artículo de publicación ISILatent class models are a convenient and intuitive way to introduce taste...
This thesis is a collection of four papers; one centred on a policy application of Contingent Valuat...
Understanding and accommodating heterogeneity in variance (also referred to as heteroscedasticity) a...
Discovering the preferences and the behaviour of consumers is a key challenge in marketing. Informat...
This paper analyses whether self-reported valuation of goods is an adequate proxy for underlying tas...
In the current issue of Environmental and Resource Economics, Morey et al. (2006) discuss a new appr...