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Committee Decision Making: The Multicategory Case

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  • Ronald Britto

Abstract

If a committee of n members is asked to make a decision to accept or reject a proposal and each committee member summarizes his/her assessment of the proposal by selecting one of several options (like “highly recommend,” “recommend,” etc.), how are these to be aggregated so as to come up with an overall recommendation? I show, on the assumption that the judgements of the individual committee members are statistically independent, that this is to be done by weighting the numbers of members selecting each option by some suitable weights; if the resulting number is larger than some benchmark number, the proposal is accepted, and otherwise rejected.

Suggested Citation

  • Ronald Britto, 2000. "Committee Decision Making: The Multicategory Case," Southern Economic Journal, John Wiley & Sons, vol. 66(3), pages 764-769, January.
    • Handle: RePEc:wly:soecon:v:66:y:2000:i:3:p:764-769
    DOI: 10.1002/j.2325-8012.2000.tb00287.x
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    References listed on IDEAS

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