Realtime Hierarchical Resource Allocation with Quadratic Costs

Working Paper: CEPR ID: DP4022

Authors: Timothy Van Zandt

Abstract: This Paper presents a model in which boundedly rational members of an administrative staff calculate resource allocations in real time. We consider a class of hierarchical procedures in which information about payoff functions flows up and is aggregated by a hierarchy, while allocations flow down and are disaggregated by the hierarchy with decentralized decision making. We assume that the payoff functions are quadratic and that the payoff parameters follow first-order autoregressive processes. We define a team statistical optimality condition that formalizes the notion of decentralized decision making. We derive a reduced form that can be used to address specific questions about organizational structure and returns to scale.

Keywords: bounded rationality; decentralization; hierarchies; realtime computation; resource allocation

JEL Codes: D23; 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
Hierarchical structure (L22)efficiency of resource allocation (D61)
Decentralized decision-making (D70)timely and relevant resource allocations (G11)
Flow of information (D83)coordination among divisions (M54)
Payoff function (G19)decision-making process (D70)

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