Catsup: Choice of Brand for Catsup
In mlogit: Multinomial Logit Models

Description Format Source References

a sample of 2798 individuals

A dataframe containing :

id: individuals identifiers,
choice: one of heinz41, heinz32, heinz28, hunts32,
disp.z: is there a display for brand z ?
feat.z: is there a newspaper feature advertisement for brand z?
price.z: price of brand z.

Journal of Business Economics and Statistics web site.

\insertRef

DIPA:NAUF:CHIN:94mlogit

mlogit documentation built on Oct. 23, 2020, 5:29 p.m.

mlogit index

Package overview 2. Data management, model description and testing 3. Random utility model and the multinomial logit model 4. Logit models relaxing the iid hypothesis 5. The random parameters (or mixed) logit model 6. Multinomial probit 7. Miscellaneous models Exercise 1: Multinomial logit model Exercise 2: Nested logit model Exercise 3: Mixed logit model Exercise 4: Multinomial probit mlogit

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