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ABSTRACT This paper describes the application of the extended or universal logit model to decompositional or “stated” choice modeling in order to increase the scope and validity of such choice models. In this approach, choice experiments are designed that permit the estimation of utility functions that include the effects of context variables like choice set composition and decision background. The approach is illustrated with some simple calculated examples concerning consumer choice of shopping conter, housing, and transportation mode.
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Stored only when both papers are in the corpus — 52 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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