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Motivated by agentic markets -- two-sided markets in which consumers and businesses are assisted by AI tools that facilitate consumers' search -- we study the impact of improved search technology on learning and welfare in markets. We put…

Computer Science and Game Theory · Computer Science 2026-03-30 Brendan Lucier , Nicole Immorlica , Markus Mobius , Aleksandrs Slivkins , Daniel G. Goldstein , Jake M. Hofman , Sonia Jaffe , David M. Rothschild

We study the impact of fiscal revenue shocks on local fiscal policy. We focus on the very volatile revenues from the immovable property gains tax in the canton of Zurich, Switzerland, and analyze fiscal behavior following large and rare…

General Economics · Economics 2021-01-20 Simon Berset , Martin Huber , Mark Schelker

Real-time bidding has transformed the digital advertising landscape, allowing companies to buy website advertising space in a matter of milliseconds in the time it takes a webpage to load. Joint research between Cardiff University and…

Personalized pricing, which involves tailoring prices based on individual characteristics, is commonly used by firms to implement a consumer-specific pricing policy. In this process, buyers can also strategically manipulate their feature…

Machine Learning · Statistics 2024-06-27 Pangpang Liu , Zhuoran Yang , Zhaoran Wang , Will Wei Sun

We consider the problem of how to regulate an oligopoly when firms have private information about their costs. In the environment, consumers make discrete choices over goods, and minimal structure is placed on the manner in which firms…

Theoretical Economics · Economics 2024-02-14 Kai Hao Yang , Alexander K. Zentefis

The data sponsored scheme allows the content provider to cover parts of the cellular data costs for mobile users. Thus the content service becomes appealing to more users and potentially generates more profit gain to the content provider.…

Computer Science and Game Theory · Computer Science 2017-11-06 Zehui Xiong , Shaohan Feng , Dusit Niyato , Ping Wang , Yang Zhang

Algorithmic fairness research often assumes a tradeoff between fairness and accuracy. Yet this tradeoff may not be universal. We test this assumption in the context of U.S. property tax assessment - a setting in which the output of…

Computers and Society · Computer Science 2026-05-15 Evelyn Smith , Emma Harvey , Christopher Berry , Jacob Goldin , Daniel E. Ho

User growth is a major strategy for consumer internet companies. To optimize costly marketing campaigns and maximize user engagement, we propose a novel treatment effect optimization methodology to enhance user growth marketing. By…

Machine Learning · Computer Science 2025-07-09 Shuyang Du , Jennifer Zhang , Will Y. Zou

Search frictions can impede the formation of optimal matches between consumer and supplier, or employee and employer, and lead to inefficiencies. This paper revisits the effect of search frictions on the firm size distribution when…

General Economics · Economics 2023-03-06 Jules Depersin , Bérengère Patault

The rapid development of artificial intelligence motivates firms to engage in AI washing. This study examines whether strategic policy shocks increase debt financing costs for such firms. Leveraging China's 14th Five Year Plan as a quasi…

General Economics · Economics 2026-05-19 Congluo Xu , Jiuyue Liu , Xiangsheng Zheng , Ziyang Li

This paper studies the impact of imperfect information in online control with adversarial disturbances. In particular, we consider both delayed state feedback and inexact predictions of future disturbances. We introduce a greedy, myopic…

Optimization and Control · Mathematics 2022-03-29 Chenkai Yu , Guanya Shi , Soon-Jo Chung , Yisong Yue , Adam Wierman

The paper explores a consumer search setting where the sellers have asymmetries. The model is an extension of the popular Stahl Model, which is widely used in the literature. The extension introduces sellers with heterogeneous stores…

Computer Science and Game Theory · Computer Science 2015-03-20 Sergey Kuniavsky

We analyse the effect of a proportional wealth tax on asset returns, portfolio choice, and asset pricing. The tax is levied annually on the market value of all holdings at a uniform rate. We show that such a tax is economically equivalent…

Physics and Society · Physics 2026-04-16 Anders G Frøseth

Using big data to analyze consumer behavior can provide effective decision-making tools for preventing customer attrition (churn) in customer relationship management (CRM). Focusing on a CRM dataset with several different categories of…

Machine Learning · Statistics 2021-07-14 Petra Posedel Šimović , Davor Horvatic , Edward W. Sun

Prior work has investigated variations of prediction markets that preserve participants' (differential) privacy, which formed the basis of useful mechanisms for purchasing data for machine learning objectives. Such markets required…

Computer Science and Game Theory · Computer Science 2018-10-30 Rafael Frongillo , Bo Waggoner

This paper examines strategic trading under incomplete information, where firms lack full knowledge of key aspects of their competitors' trading strategies such as target sizes and market impact models. We extend previous work on…

Trading and Market Microstructure · Quantitative Finance 2025-03-25 Neil A. Chriss

The online bipartite matching problem has offline buyers desiring to be matched to online items. The analysis of online bipartite matching of Eden et al. (2021) is a smoothness proof (Syrgkanis and Tardos, 2013). Moreover, it can be…

Computer Science and Game Theory · Computer Science 2023-08-01 Jason Hartline

Across science and policy, decision-makers often need to draw conclusions about the best candidate among competing alternatives. For instance, researchers may seek to infer the effectiveness of the most successful treatment or determine…

Machine Learning · Statistics 2024-11-28 Tijana Zrnic , William Fithian

Interactions between bids to show ads online can lead to an advertiser's ad being shown to more men than women even when the advertiser does not target towards men. We design bidding strategies that advertisers can use to avoid such…

Computer Science and Game Theory · Computer Science 2019-09-06 Milad Nasr , Michael Tschantz

Bidding is a key element of search advertising, but the variation in bidders' valuations and strategies is often overlooked. Disclosing bid information helps uncover this heterogeneity and enables platforms to tailor their disclosure…

General Economics · Economics 2024-10-10 Zhu Mingxi , Song Michelle
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