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• W2085694537 abstract "Unobserved heterogeneity in a stochastic model is usually represented by a mixing distribution. In this paper a semiparametric estimator is adapted to over-dispersed Poisson regression models. No assumptions are needed about the estimated mixing distribution. The parameters of included explanatory variables are estimated at the same time. The applicability and promising properties of the method are illustrated. Empirically the estimator is applied to a coffee purchase model and to a business travel frequency model subject to zero truncation. The approach is useful, e.g., in marketing research where socio-demographic variables as well as marketing instruments can be included as explanatory variables." @default.
• W2085694537 created "2016-06-24" @default.
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• W2085694537 date "1994-07-01" @default.
• W2085694537 modified "2023-10-18" @default.
• W2085694537 title "Semiparametric estimation of heterogeneous count data models" @default.
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• W2085694537 doi "https://doi.org/10.1016/0377-2217(94)90105-8" @default.
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