Quantifying the Inefficiency of Multi-unit Auctions for Normal Goods

38 Pages Posted: 31 Aug 2021

See all articles by Brian Baisa

Brian Baisa

Amherst College

Simon Essig Aberg

affiliation not provided to SSRN

Date Written: August 28, 2024

Abstract

We study multi-unit auctions for homogeneous goods in a private value setting where bidders have multi-unit demand and non-negative wealth effects. When bidders have quasilinear preferences, the Vickrey auction implements an efficient outcome in dominant strategies. When bidders have positive wealth effects, recent impossibility results find there is no auction that implements an efficient outcome. 

We quantify the worst-case inefficiency of the Vickrey auction and other multi-unit auctions when bidders have positive wealth effects. We measure an auction’s worst-case inefficiency as the largest compensating variation associated with any Pareto improvement from an undominated auction outcome. We show that Vickrey auction is ‘nearly’ efficient when the strength of bidder wealth effects is sufficiently small. The result follows because the set of undominated bids in the Vickrey auction collapses to truthfully reporting demand as bidder wealth effects become small. We also compare the worst-case inefficiency of the Vickrey auction with that of uniform-price and discriminatory auctions. 

Keywords: Undominated actions, wealth effects, multi-unit auctions, non-quasilinear preferences, Pareto efficiency.

JEL Classification: D44, D47, D61, D82.

Suggested Citation

Baisa, Brian and Essig Aberg, Simon, Quantifying the Inefficiency of Multi-unit Auctions for Normal Goods (August 28, 2024). Available at SSRN: https://ssrn.com/abstract=3912928 or http://dx.doi.org/10.2139/ssrn.3912928

Brian Baisa (Contact Author)

Amherst College ( email )

Amherst, MA 01002
United States

HOME PAGE: http://https://www.amherst.edu/people/facstaff/bbaisa

Simon Essig Aberg

affiliation not provided to SSRN

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
103
Abstract Views
639
Rank
503,448
PlumX Metrics