Since the start of the CoViD-19 pandemic, a major source of concern has been its effect on mental health. Using pre-pandemic information and five customized questionnaires in the Dutch LISS panel, we investigate how mental health in the working population has evolved along with the most...

Since the start of the CoViD-19 pandemic, a major source of concern has been its effect on mental health. Using pre- pandemic information and have customized questionnaires in the Dutch LISS panel, we investigate how mental health in the working population has evolved along with the most...

Since the start of the COVID-19 pandemic, a major source of concern has been its effect on mental health. Using pre-pandemic information and five customized questionnaires in the Dutch LISS panel, we investigate how mental health in the working population has evolved along with the most...

This paper analyzes a two-player all-pay auction with incomplete information. More precisely, one bidder is uncertain about the size of the initial advantage of his rival modeled as a head start in the auction. I derive the unique Bayesian Nash equilibrium outcome for a large class of cumulative...

This paper presents a strategic model of risk-taking behavior in contests. Formally, we analyze an n-player winner-take-all contest in which each player decides when to stop a privately observed Brownian Motion with drift. A player whose process reaches zero has to stop. The player with the...

This paper introduces a contest model in which each player decides when to stop a privately observed Brownian motion with drift and incurs costs depending on his stopping time. The player who stops his process at the highest value wins a prize. Applications of the model include procurement...

We introduce a new solution concept for models of coalition formation, called the myopic stable set. The myopic stable set is defined for a very general class of social environments and allows for an infinite state space. We show that the myopic stable set exists and is non-empty. Under minor...

During the recent COVID-19 pandemic, traditional (offline) chess tournaments were prohibited and instead held online. We exploit this as a unique setting to assess the impact of moving offline tasks online on the cognitive performance of individuals. We use the Artificial Intelligence embodied...

This paper introduces a class of contest models in which each player decides when to stop a privately observed Brownian motion with drift and incurs costs depending on his stopping time. The player who stops his process at the highest value wins a prize. We prove existence and uniqueness of a...