Adjusting Choice Models to Better Predict Market Behavior

@inproceedings{Allenby2006AdjustingCM,
  title={Adjusting Choice Models to Better Predict Market Behavior},
  author={Greg M. Allenby},
  year={2006}
}
The emergence of Bayesian methodology has facilitated respondent-level conjoint models, and deriving utilities from choice experiments has become very popular among those modeling product line decisions or new product ∗ Co-chairs. Author order is alphabetical. 

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A Choice Model for Packaged Goods: Dealing with Discrete Quantities and Quantity Discounts,

  • Allenby, M Greg, Thomas S. Shively, Sha Yang, Mark J. Garratt
  • Marketing Science
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1 Excerpt

A Choice Model with Conjunctive, Disjunctive, and Compensatory Screening Rules,

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1 Excerpt

A Comparison of Conjoint and Scanner Data-Based Price Elasticity Estimates,

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1 Excerpt

Comparing Statistical Efficiency and Respondent Efficiency in Choice Experiments,

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Experimental Designs, Efficiency, Coding and Choice Designs,

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Models of Heterogeneous Variable Selection,

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1 Excerpt

Optimal and Near-optimal Pairs for the Estimation of Effects in 2-level Choice Experiments,

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  • Journal of Statistical Planning and Inference
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Stating Preference for the Ethereal but Choosing the Concrete: How the Tangibility of Attributes Affects Attribute Weighting in Value Elicitation and Choice,

  • Horsky, Dan, Paul Nelson, Steven S. Posovac
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1 Excerpt

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