The sequential logit model is a generalization of the Multinomial Logit Model. The model works by 'exploding' a ranking into multiple separate choices. For example, if a respondent has ranked five alternatives as follows: C > A > B > D > E, the the sequential logit model recodes the data as multiple nested choice sets as follows:

- C is chosen from amongst A, B, C, D and E.
- A is chosen from amongst A, B, D and E.
- B is chosen from amongst B, D and E.
- D is chosen from amongst D and E.

Generalizations of this model allow for changes in preferences and variances over the course of the choice sets. A particularly useful aspect of this model is that its parameters are interpreted in the same way as with a Multinomial Logit Model (e.g., they can be used to create a Choice Simulator).

## Also known as

- Exploded logit.
- Rank-ordered logit model.

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