Results 31 to 40 of about 5,289 (138)
Urban ScienceHousing unaffordability and widening socio-spatial polarization continue to pervade US cities today. Driving this phenomenon, in part, is the increasing investment of rental housing stock by corporate landowners who rely on firms like RealPage, Inc.
Allison J. Zimmerman +1 more
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Algorithmic Pricing and Algorithmic Collusion
Business & Information Systems EngineeringThe rise of algorithmic pricing in online retail platforms has attracted significant interest in how autonomous software agents interact under competition. This article explores the potential emergence of algorithmic collusion - supra-competitive pricing outcomes that arise without explicit agreements - as a consequence of repeated interactions between
Bichler, Martin +2 more
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Artificial Collusion: Examining Supracompetitive Pricing by Q-Learning Algorithms
SSRN Electronic Journal, 2022 We examine recent claims that a particular Q-learning algorithm used by competitors 'autonomously' and systematically learns to collude, resulting in supracompetitive prices and extra profits for the firms sustained by collusive equilibria. A detailed analysis of the inner workings of this algorithm reveals that there is no immediate reason for alarm ...
den Boer, Arnoud V. +2 more
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On Mechanism Underlying Algorithmic Collusion *
SSRN Electronic JournalTwo issues of algorithmic collusion are addressed in this paper. First, we show that in a general class of symmetric games, including Prisoner's Dilemma, Bertrand competition, and any (nonlinear) mixture of first and second price auction, only (strict) Nash Equilibrium (NE) is stochastically stable.
Xu, Zhang, Zhao, Wei
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FIDE Congress 2020 - EU Competition Law and the Digital Economy: United Kingdom Report [PDF]
, 2019 This report was prepared for the 29th biennial Congress of the International Federation of European Law (FIDE) to be held in The Hague in May 2020. It is the national report for the United Kingdom in response to Topic 3 of the 2020 FIDE Congress, titled ‘
Kalintiri, A., Stones, R.
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ALGORITHMS, MACHINE LEARNING, AND COLLUSION
Journal of Competition Law & Economics, 2018 AbstractThis paper discusses whether self-learning price-setting algorithms can coordinate their pricing behavior to achieve a collusive outcome that maximizes the joint profits of the firms using them. Although legal scholars have generally assumed that algorithmic collusion is not only possible but also exceptionally easy, computer scientists ...
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Decentralizing governance: exploring the dynamics and challenges of digital commons and DAOs
Frontiers in BlockchainThis paper explores the intersection of decentralized governance, blockchain technology, and the digital commons through the lens of Elinor Ostrom’s principles. It examines how Decentralized Autonomous Organizations (DAOs) and tokenization models present
Mark Esposito +3 more
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A Short-term Intervention for Long-term Fairness in the Labor Market
, 2018 The persistence of racial inequality in the U.S. labor market against a general backdrop of formal equality of opportunity is a troubling phenomenon that has significant ramifications on the design of hiring policies.
Chen, Yiling, Hu, Lily
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The data-driven power of Google and co. A risk to competition? Bertelsmann Policy Brief #2018/04 [PDF]
, 2018 Is data really the new oil? Some say that access to this basic commodity is decisive for the success and failure of entire business models in the digital markets.
Stühmeier, Torben
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