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Advertising and Retail Promotion of Washington Apples: A Structural Latent Variable Approach to Promotion Evaluation AgEcon
Richards, Timothy J.; Gao, Xiaoming; Patterson, Paul M..
"Commodity promotion" consists of many activities, each designed to contribute to a consumer's product knowledge or influence tastes. However, both knowledge and tastes are unobservable, or latent, variables influencing demand. This paper specifies a dynamic structural model of fresh fruit demand that treats promotion and other socioeconomic variables as "causal" variables influencing these latent variables. Estimating this state-space model using a Kalman filter approach provides estimates of both the system parameters and a latent variable series. The results show that these latent effects contribute positively to apple and other fruit consumption, while reducing banana consumption.
Tipo: Working or Discussion Paper Palavras-chave: Commodity promotion; Demand system; DYMIMIC; Fresh fruit; Kalman filter; LA/AIDS; Latent variables; Marketing.
Ano: 1998 URL: http://purl.umn.edu/28547
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ADVERTISING AND RETAIL PROMOTION OF WASHINGTON APPLES: A STRUCTURAL LATENT VARIABLE APPROACH TO PROMOTION EVALUATION AgEcon
Richards, Timothy J.; Gao, Xiaoming; Patterson, Paul M..
"Commodity promotion" consists of many activities, each designed to contribute to a consumer's product knowledge or influence tastes. However, both knowledge and tastes are unobservable, or latent, variables influencing demand. This paper specifies a dynamic structural model of fresh fruit demand that treats promotion and other socioeconomic variables as "causal" variables influencing these latent variables. Estimating this state-space model using a Kalman filter approach provides estimates of both the system parameters and a latent variable series. The results show that these latent effects contribute positively to apple and other fruit consumption, while reducing banana consumption.
Tipo: Journal Article Palavras-chave: Commodity promotion; Demand system; DYMIMIC; Fresh fruit; Kalman filter; LA/AIDS; Latent variables; Marketing.
Ano: 1999 URL: http://purl.umn.edu/15132
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