Full Surplus Extraction and within-period Ex Post Implementation in Dynamic Environments

57 Pages Posted: 23 Jan 2014 Last revised: 17 Jun 2017

Shunya Noda

Stanford University, Department of Economics, Students

Date Written: June 16, 2017

Abstract

We study the properties of the information structure that guarantees full surplus extraction and implementation of allocation rules in dynamic environments. We exploit intertemporal correlations of agents' types to construct within-period ex post incentive compatible mechanisms. First, we formulate one-shot environments, in which one agent has a hidden type, and the planner can observe a public signal about the agent's type after a type-contingent allocation is chosen. We propose the necessary and sufficient conditions for full surplus extraction (strong-detectability) and implementability of the targeted allocation rule (weak-detectability) in this one-shot problem. Then, we decompose the general dynamic information problem to one-shot problems to apply the above results, and obtain sufficient conditions for surplus extraction and implementation.

Keywords: Dynamic mechanism design, perfect Bayesian equilibrium, revenue maximization, full surplus extraction

JEL Classification: C73, D47, D42, D44, D82

Suggested Citation

Noda, Shunya, Full Surplus Extraction and within-period Ex Post Implementation in Dynamic Environments (June 16, 2017). Available at SSRN: https://ssrn.com/abstract=2382416 or http://dx.doi.org/10.2139/ssrn.2382416

Shunya Noda (Contact Author)

Stanford University, Department of Economics, Students ( email )

Stanford, CA
United States

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