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This article presents a new model for estimating the spatial representation of objects and preference vectors from actual choice behavior of individuals or households. It is based on neoclassical economic theory of consumer choice. The model integrates both decisions of which good(s) to buy and the quantity of purchase. Overall preference is decomposed into price effects and intrinsic preference for the good. A maximum likelihood method for estimating the model parameters is described and illustrated using choice data of ketchup brands collected by the use of electronic supermarket scanners.
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Stored only when both papers are in the corpus — 19 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.