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PANEL DATA DOUBLE-HURDLE MODEL: AN APPLICATION TO DAIRY ADVERTISING AgEcon
Dong, Diansheng; Chung, Chanjin; Kaiser, Harry M..
In this study, we extend to panel data structures the double-hurdle model typically used in cross-sectional data. The new double-hurdle model can account not only for the censored nature of commodity purchases, but also for the dynamics of the purchase process. In this model, a flexible error structure is assumed to account for state dependence and household-specific heterogeneity. In the empirical application for milk purchase, we find that generic advertising increases the probability of market participation as well as the purchase quantity and incidence. Temporal dependence is also found in both purchase and participation equations.
Tipo: Conference Paper or Presentation Palavras-chave: Double-hurdle model; Panel data; Household purchase; Milk; Advertising; Heterogeneity; State dependence; Simulated maximum likelihood; Marketing.
Ano: 2001 URL: http://purl.umn.edu/20502
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Modeling the Household Purchasing Process Using a Panel Data Tobit Model AgEcon
Dong, Diansheng; Schmit, Todd M.; Kaiser, Harry M..
A panel data Tobit model is developed to examine the household purchase process for a frequently purchased commodity. The proposed model accounts not only for censoring or sample selectivity, but also the temporal dependence of the purchasing process using household panel data. The flexible error structure in the model accounts for both state dependence and household heterogeneity. Empirical findings show that purchase habits of milk persist across households over time, and most of them come from the household heterogeneity in preferences. Results also show that advertising increases the purchase quantity and purchase frequency simultaneously.
Tipo: Technical Report Palavras-chave: Household purchase; Fluid milk; Advertising; Panel data; Tobit model; Probability simulation; Food Consumption/Nutrition/Food Safety.
Ano: 2003 URL: http://purl.umn.edu/122115
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