When and what to buy: a nested logit model of coffee purchase
Article Abstract:
An application of the multinomial logit model on coffee purchase behavior based on size and brand given that the customer as made a category selection reveals that the model tracks sales well in a hold out sample. Explanatory variables in the model include store actions such as price and promotion and customer characteristics such as brand size and loyalty and results also show that sales tracking in the hold-out sample is superior for both aggregate and and individual levels.
Publication Name: Journal of Forecasting
Subject: Mathematics
ISSN: 0277-6693
Year: 1998
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Forecasting ski demand: comparing learning curve and varying parameter coefficient approaches
Article Abstract:
The forecasting of the skiing market demand utilized a learning curve model and a varying coefficient econometric model. The skiing market was denoted as the number of people on charter flights from the UK airports to the airports near major ski resorts in Europe from Dec to Apr for 1973 to 1996. Results of the models' computation were compared and showed that the varying coefficient model produced more reliable forecasts.
Publication Name: Journal of Forecasting
Subject: Mathematics
ISSN: 0277-6693
Year: 1999
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