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Remove the intercept

In the last exercise, we forgot to exclude the intercept. When we estimate a model with the intercept, it estimates parameters for each of the alternatives. For this conjoint data, the alternative number just indicates which chocolate bar was presented on the left, middle or right in the survey question. It doesn't make much sense to assume that the position would affect the choice.

Diese Übung ist Teil des Kurses

Choice Modeling for Marketing in R

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Anleitung zur Übung

  • The choc_m1 object is still loaded. Use summary(choc_m1) to view the output. Find the parameters for the intercepts. They are close to zero and non-significant, so we can remove them.
  • Modify the call to mlogit() to exclude the intercept by adding 0 + just after the ~ in the formula. Assign the output to choc_m2. You can also remove the print.level = 3 option.
  • Call summary(choc_m2) to confirm that the intercepts are removed. Did the other parameters change much?

Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# summarize the choc_m1 model that includes the intercepts


# modify the call to mlogit to exclude the intercept
choc_m2 <- mlogit(Selection ~ Brand + Type + Price, data = chocolate, print.level=3)

# summarize the choc_m2 model
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