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Related papers: An experiment in price perception error

200 papers

We explore heterogeneous prices as a source of heterogeneous or stochastic demand. Heterogeneous prices could arise either because there is actual price variation among consumers or because consumers (mis)perceive prices differently. Our…

Theoretical Economics · Economics 2026-05-26 John K. -H. Quah , Gerelt Tserenjigmid

Understanding individual customers' sensitivities to prices, promotions, brands, and other marketing mix elements is fundamental to a wide swath of marketing problems. An important but understudied aspect of this problem is the dynamic…

Applications · Statistics 2024-06-03 Ryan Dew , Yuhao Fan

Choice decisions made by users of online applications can suffer from biases due to the users' level of engagement. For instance, low engagement users may make random choices with no concern for the quality of items offered. This biased…

Applications · Statistics 2016-08-30 Zhengli Wang , Tauhid Zaman

In lending, where prices are specific to both customers and products, having a well-functioning personalized pricing policy in place is essential to effective business making. Typically, such a policy must be derived from observational…

Machine Learning · Computer Science 2023-09-08 Christopher Bockel-Rickermann , Sam Verboven , Tim Verdonck , Wouter Verbeke

Potential buyers of a product or service, before making their decisions, tend to read reviews written by previous consumers. We consider Bayesian consumers with heterogeneous preferences, who sequentially decide whether to buy an item of…

Optimization and Control · Mathematics 2022-02-24 Etienne Boursier , Vianney Perchet , Marco Scarsini

Many of the observations we make are biased by our decisions. For instance, the demand of items is impacted by the prices set, and online checkout choices are influenced by the assortments presented. The challenge in decision-making under…

Machine Learning · Computer Science 2025-07-02 Rares Cristian , Pavithra Harsha , Georgia Perakis , Brian Quanz

When online sellers use AI learning algorithms to automatically compete on e-commerce platforms, there is concern that they will learn to coordinate on higher than competitive prices. However, this concern was primarily raised in…

General Economics · Economics 2025-11-03 Hangcheng Zhao , Ron Berman

Learning user preferences for products based on their past purchases or reviews is at the cornerstone of modern recommendation engines. One complication in this learning task is that some users are more likely to purchase products or review…

Information Retrieval · Computer Science 2023-03-08 Wanning Chen , Mohsen Bayati

We are interested in the effect of consumer demand estimation error for new products in the context of production planning. An inventory model is proposed, whereby demand is influenced by price and advertising. The effect of parameter…

Optimization and Control · Mathematics 2015-10-23 Antoine Deza , Kai Huang , Michael R. Metel

We consider a retailer running a switchback experiment for the price of a single product, with infinite supply. In each period, the seller chooses a price $p$ from a set of predefined prices that consist of a reference price and a few…

Computer Science and Game Theory · Computer Science 2024-10-22 Yifan Wu , Ramesh Johari , Vasilis Syrgkanis , Gabriel Y. Weintraub

Recommending products to consumers means not only understanding their tastes, but also understanding their level of experience. For example, it would be a mistake to recommend the iconic film Seven Samurai simply because a user enjoys other…

Social and Information Networks · Computer Science 2013-03-20 Julian McAuley , Jure Leskovec

Consumer spending accounts for a large fraction of the US economic activity. Increasingly, consumer activity is moving to the web, where digital traces of shopping and purchases provide valuable data about consumer behavior. We analyze…

Social and Information Networks · Computer Science 2015-12-16 Farshad Kooti , Kristina Lerman , Luca Maria Aiello , Mihajlo Grbovic , Nemanja Djuric , Vladan Radosavljevic

We consider a dynamic pricing problem where customer response to the current price is impacted by the customer price expectation, aka reference price. We study a simple and novel reference price mechanism where reference price is the…

Machine Learning · Computer Science 2024-07-23 Shipra Agrawal , Wei Tang

Personality is a psychological factor that reflects people's preferences, which in turn influences their decision-making. We hypothesize that accurate modeling of users' personalities improves recommendation systems' performance. However,…

Information Retrieval · Computer Science 2023-03-22 Xinyuan Lu , Min-Yen Kan

People often take user ratings and reviews into consideration when shopping for products or services online. However, such user-generated data contains self-selection bias that could affect people decisions and it is hard to resolve this…

Human-Computer Interaction · Computer Science 2022-09-21 Qian Zhu , Leo Yu-Ho Lo , Meng Xia , Zixin Chen , Xiaojuan Ma

This paper proposes a two-stage pricing strategy for nondurable (such as typical electronics) products, where retail price is cut down at certain time points of the product lifecycle. We consider learning effect of electronic products that,…

General Economics · Economics 2021-10-25 Yanrong Li , Lai Wei , Wei Jiang

Consumer agency in the digital age is increasingly constrained by systemic barriers and algorithmic manipulation, raising concerns about the authenticity of consumption choices. Nowadays, financial decisions are shaped by external pressures…

Computers and Society · Computer Science 2025-08-20 Pegah Nokhiz , Aravinda Kanchana Ruwanpathirana

In the context of nonlinear prices, the empirical evidence suggests that the consumers have cognitive biases represented in a limited understanding of nonlinear price structures, and they respond to some alternative perceptions of the…

General Economics · Economics 2021-04-22 Diego Alejandro Murillo Taborda

Existing group recommender systems utilize attention mechanisms to identify critical users who influence group decisions the most. We analyzed user attention scores from a widely-used group recommendation model on a real-world E-commerce…

Information Retrieval · Computer Science 2024-10-04 Yang Shi , Young-joo Chung

An informed seller designs a dynamic mechanism to sell an experience good. The seller has partial information about the product match, which affects the buyer's private consumption experience. We characterize equilibrium mechanisms of this…

Theoretical Economics · Economics 2025-06-24 Tan Gan , Nicholas Wu