Best of Both Worlds Ad Contracts: Guaranteed Allocation and Price with Programmatic Efficiency

共同价值拍卖 微观经济学 投标 收入 风险厌恶(心理学) 经济 收入等值 荷兰式拍卖 拍卖理论 期望效用假设 金融经济学 财务
作者
Maxime C. Cohen,Antoine Désir,Nitish Korula,Balasubramanian Sivan
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:69 (7): 4027-4050 被引量:3
标识
DOI:10.1287/mnsc.2022.4542
摘要

Buying display ad impressions via real-time auctions comes with significant allocation and price uncertainties. We design and analyze a contract that mitigates this uncertainty risk by providing guaranteed allocation and prices while maintaining the efficiency of buying in an auction. We study how risk aversion affects the desire for guarantees and how to price a guaranteed allocation. We propose to augment the traditional auction with a programmatic purchase option (which we call a Market-Maker contract) that removes allocation and price uncertainties. Instead of participating in the auction, advertisers can secure impressions in advance at a fixed premium price offered by the Market-Maker. It is then the responsibility of the Market-Maker to procure these impressions by bidding in the auction. We model buyers as risk-averse agents and analyze the equilibrium outcome when buyers face two purchase options (auction and Market-Maker contract). We derive analytical expressions for the Market-Maker price that reveal insightful relationships with uncertainties in the auction price and buyers’ risk levels. We also show the existence of a Market-Maker price that simultaneously improves the seller’s revenue and the sum of buyers’ utilities. As a building block to our analysis, we establish the truthfulness of the multiunit auction when buyers have nonquasilinear utilities because of risk aversion. Recently, the Google’s Display & Video 360 platform started offering a product akin to Market-Maker called “Guaranteed Packages,” which was inspired by this paper. This paper was accepted by Gabriel Weintraub, revenue management and market analytics. Funding: The authors thank Google Research for its generous support.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
乐乐应助YYYmw采纳,获得10
刚刚
刚刚
刚刚
1秒前
vivian完成签到,获得积分10
1秒前
2秒前
2秒前
Rsoup发布了新的文献求助10
4秒前
感动迎蕾发布了新的文献求助10
4秒前
李健应助大创采纳,获得10
5秒前
ctttt发布了新的文献求助10
6秒前
asdasdasd发布了新的文献求助10
6秒前
7秒前
weiweiwu12完成签到,获得积分10
7秒前
烟花应助阿瓜采纳,获得10
8秒前
wangwangxiao发布了新的文献求助100
10秒前
11秒前
锤锤完成签到,获得积分10
12秒前
夜願完成签到,获得积分10
14秒前
英俊的铭应助wushuwen采纳,获得10
15秒前
111发布了新的文献求助10
16秒前
16秒前
17秒前
18秒前
20秒前
科研小巴发布了新的文献求助10
20秒前
20秒前
21秒前
Nidhogg完成签到 ,获得积分10
21秒前
阿瓜发布了新的文献求助10
22秒前
AUKO星星完成签到,获得积分10
22秒前
爆炸星球发布了新的文献求助10
22秒前
李健的小迷弟应助zorro3574采纳,获得10
22秒前
感动迎蕾完成签到,获得积分10
23秒前
小先生发布了新的文献求助10
24秒前
鸵鸟发布了新的文献求助10
24秒前
888关闭了888文献求助
26秒前
ll发布了新的文献求助10
26秒前
深情安青应助Gao采纳,获得10
29秒前
1310发布了新的文献求助10
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6361045
求助须知:如何正确求助?哪些是违规求助? 8174905
关于积分的说明 17220283
捐赠科研通 5416017
什么是DOI,文献DOI怎么找? 2866116
邀请新用户注册赠送积分活动 1843351
关于科研通互助平台的介绍 1691365