Budget-Constrained Auctions with Unassured Priors: Strategic Equivalence and Structural Properties
Zhaohua Chen, Mingwei Yang, Chang Wang, Jicheng Li, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng
TL;DR
This paper addresses budget-constrained auctions when advertisers’ value priors are unassured, formulating an unassured-prior game between a seller and budgeted buyers. It compares five budget-constrained mechanisms, including the Bayesian revenue-optimal auction (BROA) and budget-extracting variants of first-price and second-price auctions, through a budget-extracting framework and a strategic-equivalence lens. The authors prove strong and broad strategic-equivalence results between BROA and budget-extracting bid-discount first-price auctions, and establish extensive symmetry and dominance relations among the mechanisms, both with and without strategic bidding. The findings show that simple, budget-extracting mechanisms can match the revenue and equilibrium outcomes of the more complex optimal mechanism under unassured priors, with important implications for practical advertising platforms deploying pacing or bid-discount strategies. The work advances understanding of budget-constrained auctions in uncertain environments and suggests robust mechanism choices for online ad markets where priors are imperfect or private.
Abstract
In today's online advertising markets, it is common for advertisers to set long-term budgets. Correspondingly, advertising platforms adopt budget control methods to ensure that advertisers' payments lie within their budgets. Most budget control methods rely on the value distributions of advertisers. However, due to the complex advertising landscape and potential privacy concerns, the platform hardly learns advertisers' true priors. Thus, it is crucial to understand how budget control auction mechanisms perform under unassured priors. This work answers this problem from multiple aspects. We consider the unassured prior game among the seller and all buyers induced by different mechanisms in the stochastic model. We restrict the parameterized mechanisms to satisfy the budget-extracting condition, which maximizes the seller's revenue by extracting buyers' budgets as effectively as possible. Our main result shows that the Bayesian revenue-optimal mechanism and the budget-extracting bid-discount first-price mechanism yield the same set of Nash equilibrium outcomes in the unassured prior game. This implies that simple mechanisms can be as robust as the optimal mechanism under unassured priors in the budget-constrained setting. In the symmetric case, we further show that all these five (budget-extracting) mechanisms share the same set of possible outcomes. We further dig into the structural properties of these mechanisms. We characterize sufficient and necessary conditions on the budget-extracting parameter tuple for bid-discount/pacing first-price auctions. Meanwhile, when buyers do not take strategic behaviors, we exploit the dominance relationships of these mechanisms by revealing their intrinsic structures.
