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Cited by 1,394

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data

Louviere, Jordan J., Woodworth, George·1983·Journal of Marketing Research

Abstract

The authors integrate concepts in conjoint analysis and discrete choice theory in econometrics to develop a new approach to the design and analysis of controlled consumer choice or resource allocation experiments. The article is concerned with estimating the parameters of conjoint-type functions from discrete choice or allocation data. Emphasis is placed on the multinomial logit model and aggregate choice or allocation data to illustrate the concepts in a series of empirical examples ranging from simple to complex. The authors present limited external validity evidence to support the approach and make comparisons with traditional conjoint approaches.

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Metadata

Authors
Louviere, J. J., & Woodworth, G.
Venue
Journal of Marketing Research
Published
1983-11
Volume
20
Issue
4
Pages
350-367
ISSN
  • 0022-2437 (ISSN-L)
  • 1547-7193
OpenAlex
W1981075779
Cited by
1,394
References
2
FWCI
13.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data. https://app.cochat.ai/papers/10.1177/002224378302000403
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Louviere, J. J., & Woodworth, G. (1983). Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data. Journal of Marketing Research. https://doi.org/10.1177/002224378302000403

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.