An information–Theoretic approach to partially identified auction models

A-Tier
Journal: Journal of Econometrics
Year: 2024
Volume: 238
Issue: 2

Authors (2)

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

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

Abstract

We consider a situation in which we have data from ascending auctions with symmetric bidders, independent private values, and exogenous entry in which the bidders’ value distribution is partially identified. Focusing on the case in which the seller intends to use a second price auction, we discuss how to determine an optimal reserve price. We justify the use of maximum entropy, explore the properties of the estimand, determine the asymptotic properties of our maximum entropy estimator, evaluate its behavior in a simulation study, and demonstrate its use in a modest application. As an extension, we propose a maxmin decision rule with entropy regularization, which includes Aryal and Kim (2013) and the maximum entropy solution as extreme cases.

Technical Details

RePEc Handle
repec:eee:econom:v:238:y:2024:i:2:s0304407623002828
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-25