The following analysis looks into auctions for renewable energy, specifically onshore wind
power in Germany. Following an agent-based modeling approach, the two most commonly …

Multiagent deep reinforcement learning (MDRL) is a promising research area in which
agents learn complex behaviors in cooperative or competitive environments. However …

Auction fever is a multifaceted phenomenon that is frequently observed in both traditional
and Internet auctions. In order to gain a better understanding of its causes, we develop a …

Research on emotions suggests that auction outcomes may elicit an aversive “frustration of
losing” as well as a rewarding “joy of winning” response. However, little is known about the …

I analyze sequential auctions with expectations‐based loss‐averse bidders who have
independent private values and unit demand. Equilibrium bids are history dependent and …

Although the importance of emotions in economic decision-making is being widely
accepted, it is still unclear how and to what extent emotional processing affects economic …

We study pricing in the art auction market, focusing on the impact of color composition in non-
figurative paintings on hammer prices and willingness-to-pay, by means of both field and …

Despite countless anecdotes about emotionally-charged bidding in auctions, there is little
research to help understand what causes auction fever and why it persists. Because …

Purpose–Experimental auctions are widely used as a non-hypothetical value elicitation
method to examine consumer preferences for novel, controversial foods. However, despite …

The popularity of open ascending auctions is often attributed to the fact that openly
observable bidding allows to aggregate dispersed information. Another reason behind the …