Department of Economics (ECO): Recent submissions
Now showing items 11-15 of 2803
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Title:Austrian and mainstream economics on mathematics : a comment on Pieniążek (2018) : reply to Machaj (2019) Author(s):PIENIAZEK, Piotr
Date:2021Citation:Ekonomista, 2021, No. 3, pp. 440-448Type:ArticleAbstract:In this piece, I address Machaj's (2019) criticism of the claims in Pieniążek (2018). I refute the criticism and reinforce the claims.
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Title:Algorithmic collusion, genuine and spurious Author(s):CALVANO, Emilio; CALZOLARI, Giacomo ; DENICOLÒ, Vincenzo; PASTORELLO, SergioDate:2021Type:Working PaperSeries/Number:CEPR Discussion Papers; 2020/16393Abstract:We clarify the difference between the asynchronous pricing algorithms analyzed by Asker, Fershtman and Pakes (2021) and those considered in the previous literature. The difference lies in the way the algorithms explore: ...
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Title:Exploiting rivals' strengths Author(s):CALZOLARI, Giacomo ; DENICOLÒ, VincenzoDate:2020Type:Working PaperSeries/Number:CEPR Discussion Papers; 2020/15520Abstract:Contracts that reference rivals' volumes (RRV contracts), such as exclusive dealing or market-share rebates, have been a long-standing concern in antitrust because of their possible exclusionary effects. We show, however, ...
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Title:Algorithmic collusion with imperfect monitoring Author(s):CALVANO, Emilio; CALZOLARI, Giacomo ; DENICOLO, Vincenzo; PASTORELLO, SergioDate:2021Citation:International journal of industrial organization, 2021, Vol. 79, Art. 102712, OnlineOnlyType:ArticleAbstract:We show that if they are allowed enough time to complete the learning, Q-learning algorithms can learn to collude in an environment with imperfect monitoring adapted from Green and Porter (1984), without having been ...
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Title:Autonomous algorithmic collusion : economic research and policy implications Author(s):ASSAD, Stephanie; CALVANO, Emilio; CALZOLARI, Giacomo ; CLARK, Robert; DENICOLÒ, Vincenzo; ERSHOV, Daniel; JOHNSON, Justin; PASTORELLO, Sergio; RHODES, Andrew; XU, Lei; WILDENBEEST, MatthijsDate:2021Citation:Oxford review of economic policy, 2021, Vol. 37, No. 3, pp. 459–478Type:ArticleAbstract:Markets are being populated with new generations of pricing algorithms, powered with artificial intelligence (AI), that have the ability to autonomously learn to operate. This ability can be both a source of efficiency and ...
