12 citations · 12 across the 7 of their papers we have counts for
7 papers
Auditing Algorithmic Collusion from Strategy Graphs
Nicolas Eschenbaum, Janusz M. Meylahn
Detecting algorithmic collusion is challenging because regulators often have limited access to firms' algorithms, training data, and market information. We study an intermediate-in…
Shared Bidding Algorithms and Competition: Evidence from Electricity Markets
Nicolas Eschenbaum
Competing firms increasingly delegate market decisions to algorithms supplied by the same third-party providers. We study whether a shared algorithm leads competitors to internalis…
Market Power and Platform Design in Decentralized Electricity Trading
Nicolas Eschenbaum, Nicolas Greber
This paper studies how platform design shapes strategic behavior in decentralized electricity trading. We develop a finite-horizon dynamic game in which photovoltaic- and battery-e…
Repeated Auctions with Speculators: Arbitrage Incentives and Forks in DAOs
Nicolas Eschenbaum, Nicolas Greber
We analyze the vulnerability of decentralized autonomous organizations (DAOs) to speculative exploitation via their redemption mechanisms. Studying a game-theoretic model of repeat…
Robust Algorithmic Collusion
Nicolas Eschenbaum, Filip Mellgren, Philipp Zahn
This paper develops a formal framework to assess policies of learning algorithms in economic games. We investigate whether reinforcement-learning agents with collusive pricing poli…
Dynamic Monopoly Pricing With Multiple Varieties: Trading Up
Stefan Buehler, Nicolas Eschenbaum, Severin Lenhard
This paper studies dynamic monopoly pricing for a broad class of settings that allow for multiple durable, multiple rental, or a mix of varieties. We show that the driving force be…
Dealing with Uncertainty: The Value of Reputation in the Absence of Legal Institutions
Nicolas Eschenbaum, Helge Liebert
This paper studies reputation in the online market for illegal drugs in which no legal institutions exist to alleviate uncertainty. Trade takes place on platforms that offer rating…