When And What to Buy a Nested Logit Model of Coffee Purchase
When And What to Buy a Nested Logit Model of Coffee Purchase
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To quickly assess the difficulty of the text, read a short excerpt:
The correspoding coefficients, bg^i capture any constant uniqueness of an alternative that is not explained by the other variables.
(2) Common across alternatives .
The first common variable is depromoted price, i. E. , the regular price in the absence of store promotion.
x-'-]^^(n) = regular (depromoted) price of brand-size k at the time of customer i 's nth coffee purchase, divided by average category price during week of purchase, each expressed in dollars/ounce.
The second variable represen...ts store promotion, x-'-2k(n) = I 1 if brand-size k was on promotion at time of customer i 's nth coffee purchase, { otherwise.
The third variable, depth of promotional price cut, helps explain the differences in response for different promotions.
x-'-3|. (n) = promotional price cut on brand-size k at time of customer i's nth coffee purchase, divided by average category price during week of purchase.
The variable is zero when there is no promotion on k so that the actual price of brand-size k is always X]^^+X3^.
What to read after When And What to Buy a Nested Logit Model of Coffee Purchase?
You can find similar books in the "Read Also" column, or choose other free books by Peter M Guadagni to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
The correspoding coefficients, bg^i capture any constant uniqueness of an alternative that is not explained by the other variables.
(2) Common across alternatives .
The first common variable is depromoted price, i. E. , the regular price in the absence of store promotion.
x-'-]^^(n) = regular (depromoted) price of brand-size k at the time of customer i 's nth coffee purchase, divided by average category price during week of purchase, each expressed in dollars/ounce.
The second variable represen...ts store promotion, x-'-2k(n) = I 1 if brand-size k was on promotion at time of customer i 's nth coffee purchase, { otherwise.
The third variable, depth of promotional price cut, helps explain the differences in response for different promotions.
x-'-3|. (n) = promotional price cut on brand-size k at time of customer i's nth coffee purchase, divided by average category price during week of purchase.
The variable is zero when there is no promotion on k so that the actual price of brand-size k is always X]^^+X3^.
What to read after When And What to Buy a Nested Logit Model of Coffee Purchase?
You can find similar books in the "Read Also" column, or choose other free books by Peter M Guadagni to read onlineMoreLess
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