The structure of consumer taste heterogeneity in discrete choice demand models is important, as it drives the structure of own and cross-price elasticities of demand, and the pattern of competition between products. Here we compare performance of three leading discrete choice models, using three datasets with very different properties. The models are the mixed logit with normal heterogeneity (N-MIXL), the generalized multinomial logit (G-MNL) and the mixture-of-normals logit (MM-MNL). Which model is preferred depends on the context: G-MNL does an excellent job of capturing the sort of departures from normality that are prevalent in stated preference (SP) data. But MM-MNL can capture more general departures from normality that are prevalent ...
Data from choice experiments are analyzed using choice models. Proper modeling allows a good underst...
AbstractOne of the most important objectives in marketing field is to get a better understanding abo...
The recent availability of trade data at a firm-product-country level calls for a new generation of ...
The structure of consumer taste heterogeneity in discrete choice demand models is important, as it d...
While there is general agreement that consumer taste heterogeneity is crucially important in marketi...
When modeling demand for differentiated products, it is vital to adequately capture consumer taste h...
The mixed or heterogeneous multinomial logit (MIXL) model has become popular in a number of fields, ...
Most applications of discrete choice models in transportation now utilise a random coefficient speci...
Understanding and accommodating heterogeneity in variance (also referred to as heteroscedasticity) a...
There is growing interest in establishing a mechanism to account for scale heterogeneity across indi...
Heterogeneous tastes across consumers can be captured by random coefficients in a mixed logit (ML) m...
In analyzing panel data, the issue of heterogeneity across households is an important consideration....
Researchers using revealed preference data have mostly relied on the Mixed Logit (ML) framework to m...
This paper combines different aggregate-level data sets to identify new product demand in consumer p...
Applications of discrete choice experiments to study consumer choice behavior have grown significant...
Data from choice experiments are analyzed using choice models. Proper modeling allows a good underst...
AbstractOne of the most important objectives in marketing field is to get a better understanding abo...
The recent availability of trade data at a firm-product-country level calls for a new generation of ...
The structure of consumer taste heterogeneity in discrete choice demand models is important, as it d...
While there is general agreement that consumer taste heterogeneity is crucially important in marketi...
When modeling demand for differentiated products, it is vital to adequately capture consumer taste h...
The mixed or heterogeneous multinomial logit (MIXL) model has become popular in a number of fields, ...
Most applications of discrete choice models in transportation now utilise a random coefficient speci...
Understanding and accommodating heterogeneity in variance (also referred to as heteroscedasticity) a...
There is growing interest in establishing a mechanism to account for scale heterogeneity across indi...
Heterogeneous tastes across consumers can be captured by random coefficients in a mixed logit (ML) m...
In analyzing panel data, the issue of heterogeneity across households is an important consideration....
Researchers using revealed preference data have mostly relied on the Mixed Logit (ML) framework to m...
This paper combines different aggregate-level data sets to identify new product demand in consumer p...
Applications of discrete choice experiments to study consumer choice behavior have grown significant...
Data from choice experiments are analyzed using choice models. Proper modeling allows a good underst...
AbstractOne of the most important objectives in marketing field is to get a better understanding abo...
The recent availability of trade data at a firm-product-country level calls for a new generation of ...