Mechanism design with information acquisition

B-Tier
Journal: Economic Theory
Year: 2017
Volume: 63
Issue: 3
Pages: 783-812

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Abstract Consider a mechanism design setting in which agents acquire costly information about an unknown, payoff-relevant state of nature before participating in the mechanism. Information gathering is covert. We investigate conditions under which (i) efficient implementation and (ii) full surplus extraction are Bayesian incentive compatible and interim individually rational.

Technical Details

RePEc Handle
repec:spr:joecth:v:63:y:2017:i:3:d:10.1007_s00199-016-0964-5
Journal Field
Theory
Author Count
2
Added to Database
2026-01-24