The authors investigate whether household scanner data provide rep- resentative inferences about brand choice behavior. They show the (ana- lytical) equivalence of the homogeneous brand choice logit and the multi- nomial store sales models. Then, they determine how results for the homogeneous logit model estimated with actual household data deviate from results for the multinomial model estimated with actual store data from the same community. They also perform this comparison using model specifications that provide average estimated parameters while accommodating unobserved household heterogeneity. The authors find statistical support for the hypothesis that panelist households are not rep- resentative, whether household heterogeneity is o...
textabstractWe propose a new method to model consumers' consideration and choice processes. We devel...
When calibrating a brand choice model cross-sectionally, a measure of brand loyalty is often introdu...
We present an econometric technique for modeling endogenous selectivity in households’ quantity ou...
The authors investigate whether household scanner data provide rep- resentative inferences about bra...
The marketing literature has addressed the issues of heterogeneity and erKlogeneity when estimating ...
The A.C. Nielson household scanner panel is used to analyze factors affecting brand-size choices for...
In analyzing panel data, the issue of heterogeneity across households is an important consideration....
A random-coefficients logit model that allows for unobserved heterogeneity in brand preferences and ...
In deciding what brand to buy consumers trade off between how valuable each brand is to them and its...
Differences between consumers in sensitivity to marketing mix variables have been extensively docume...
A multinomial logit model of brand choice, calibrated on 32 weeks of purchases of regular ground cof...
The authors propose a new model to capture unobserved consideration from discrete choice data. This ...
Marketing researchers have long used brand switching analyses and Markov transition matrices to gain...
This paper extends the scanner-based choice literature by explicitly incorporating individual-level ...
Nonparametric density estimation using a kernel method is proposed to model consumer brand choice. R...
textabstractWe propose a new method to model consumers' consideration and choice processes. We devel...
When calibrating a brand choice model cross-sectionally, a measure of brand loyalty is often introdu...
We present an econometric technique for modeling endogenous selectivity in households’ quantity ou...
The authors investigate whether household scanner data provide rep- resentative inferences about bra...
The marketing literature has addressed the issues of heterogeneity and erKlogeneity when estimating ...
The A.C. Nielson household scanner panel is used to analyze factors affecting brand-size choices for...
In analyzing panel data, the issue of heterogeneity across households is an important consideration....
A random-coefficients logit model that allows for unobserved heterogeneity in brand preferences and ...
In deciding what brand to buy consumers trade off between how valuable each brand is to them and its...
Differences between consumers in sensitivity to marketing mix variables have been extensively docume...
A multinomial logit model of brand choice, calibrated on 32 weeks of purchases of regular ground cof...
The authors propose a new model to capture unobserved consideration from discrete choice data. This ...
Marketing researchers have long used brand switching analyses and Markov transition matrices to gain...
This paper extends the scanner-based choice literature by explicitly incorporating individual-level ...
Nonparametric density estimation using a kernel method is proposed to model consumer brand choice. R...
textabstractWe propose a new method to model consumers' consideration and choice processes. We devel...
When calibrating a brand choice model cross-sectionally, a measure of brand loyalty is often introdu...
We present an econometric technique for modeling endogenous selectivity in households’ quantity ou...