A Logit Model of Brand Choice Calibrated On Scanner Data

Cover A Logit Model of Brand Choice Calibrated On Scanner Data
A Logit Model of Brand Choice Calibrated On Scanner Data
Peter M Guadagni
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Gensch and Recker (1979) provide a general exposition and compare the fitting ability of the logit to that of regression for shoppers' choosing grocery stores. The logit has an even more extensive history of application in the field of transportation planning, particularly for predicting an individual's choice of mode of travel, e. G. , car or bus (Domencich and McFadden, 1975).
2. 1 Axiomatic view As a choice model, the multinomial logit permits an axiomatic derivation which we briefly outline
.... Consider an individual, i, confronted with a choice from a set, S. , of alternatives . In our setting the alternatives will be different products in a category. We suppose that: -A- MAR0a79 MAY0a79 JUN2a79 AUG2a79 XTia79 DECia79 FEB07Jd0 4 WEEK reRIOOS Fig. 1 : The share of purchases of a major coffee brand-size as recorded in a panel of 100 Kansas City households shows great variability. (Dates shown are the starting days of four week periods. ) -4a- (1) Alternative k e S. Holds for the individual a preference or utility, where v.

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