Deliberating Collective Decisions

Working Paper: CEPR ID: DP10466

Authors: Jimmy Chan; Alessandro Lizzeri; Wing Suen; Leeat Yariv

Abstract: We present a dynamic model of sequential information acquisition by a heterogeneous committee. At each date agents decide whether to vote to adopt one of two alternatives or continue to collect more information. The process stops when a qualified majority vote for an alternative. Three main insights emerge from our analysis and match an array of stylized facts on committee decision making. First, majority rule is more fragile than super-majority rules to impatient committee members. Second, more diverse preferences, more consensual deliberation rules, or more unanimous de- cision voting rules lead to lengthier deliberation and more accurate decisions. Last, balanced committees unanimously prefer to delegate deliberation power to a moderate chairman rather than be governed by a deliberation rule such as unanimity.

Keywords: collective learning; optimal stopping; sequential likelihood ratio test; swing voters

JEL Codes: D71; D72; D83


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
impatience of committee members (D72)quicker decision-making (D91)
diversity of preferences (D11)increase in deliberation time (D91)
diversity of preferences (D11)more accurate decisions (D91)
deliberation rules (D72)increase in deliberation time (D91)
deliberation rules (D72)more accurate decisions (D91)
structure of the committee (D71)preference for decision-making authority (D70)

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