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Online Auctions
Ockenfels, Axel - 2006
The economic literature on online auctions is rapidly growing because of the enormous amount of freely available field data. Moreover, numerous innovations in auction-design features on platforms such as eBay have created excellent research opportunities. In this article, we survey the...
Persistent link: https://www.econbiz.de/10012465877
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Platform Information Provision and Consumer Search : A Field Experiment
Fang, Lu; Chen, Yanyou; Farronato, Chiara; Yuan, Zhe; … - National Bureau of Economic Research - 2024
Despite substantial efforts to help consumers search in more intuitive ways, text search remains the predominant tool for product discovery online. In this paper, we explore the effects of visual and textual cues for search refinement on consumer search and purchasing behavior. We collaborate...
Persistent link: https://www.econbiz.de/10014486191
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Self-Preferencing at Amazon : Evidence from Search Rankings
Farronato, Chiara; Fradkin, Andrey; MacKay, Alexander - National Bureau of Economic Research - 2023
We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study participants. Using this...
Persistent link: https://www.econbiz.de/10013537786
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Position Auctions with Consumer Search
Athey, Susan - 2009
This paper examines a model in which advertisers bid for "sponsored-link" positions on a search engine. The value advertisers derive from each position is endogenized as coming from sales to a population of consumers who make rational inferences about firm qualities and search optimally....
Persistent link: https://www.econbiz.de/10012463396
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Buy-it-now or Take-a-chance : Price Discrimination through Randomized Auctions
Celis, L. Elisa - 2012
Increasingly detailed consumer information makes sophisticated price discrimination possible. At fine levels of aggregation, demand may not obey standard regularity conditions. We propose a new randomized sales mechanism for such environments. Bidders can "buy-it-now" at a posted price, or...
Persistent link: https://www.econbiz.de/10012460071
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A Conic Algorithm for the Group Minimization Problem
Simeone, Bruno - 1976
A new algorithm for the group minimization problem (GP) is proposed. The algorithm can be broadly described as follows …-known algorithm of Glover, and checked for non-negativity. The first non-negative point is an optimal solution of (GP). Advantages and … disadvantages of the algorithm are discussed; in particular, the implementation of the algorithm (which can be easily extended so as …
Persistent link: https://www.econbiz.de/10012478970
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How Artificial Intelligence and Machine Learning Can Impact Market Design
Milgrom, Paul R. - 2018
In complex environments, it is challenging to learn enough about the underlying characteristics of transactions so as to design the best institutions to efficiently generate gains from trade. In recent years, Artificial Intelligence has emerged as an important tool that allows market designers...
Persistent link: https://www.econbiz.de/10012453432
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Search Engines and Data Retention : Implications for Privacy and Antitrust
Chiou, Lesley - 2017
This paper investigates whether larger quantities of historical data affect a firm's ability to maintain market share in Internet search. We study whether the length of time that search engines retained their server logs affected the apparent accuracy of subsequent searches. Our analysis...
Persistent link: https://www.econbiz.de/10012453896
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Banning Foreign Pharmacies from Sponsored Search : The Online Consumer Response
Chesnes, Matthew - 2014
Increased competition from the internet has raised concerns about the quality of prescription drugs sold online. Given the pressure from the Department of Justice, Google agreed to ban pharmacies not certified by the National Association of Boards of Pharmacy (NABP) from sponsored search...
Persistent link: https://www.econbiz.de/10012458577
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An Adaptive Nonlinear Least Square Algorithm
Dennis, John E. - 1977
NL2SOL is a modular program for solving the nonlinear least-squares problem that incorporates a number of novel features. It maintains a secant approximation S to the second-order part of the least-squares Hessian and adaptively decides when to use this approximation. We have found it very...
Persistent link: https://www.econbiz.de/10012478936