In Bayesian environments with private information, as described by the types of Harsanyi, how can types of agents be (statistically) disassociated from each other and how are such disassociations reflected in the agents’ knowledge structure? Conditions studied are (i) subjective independence...

This paper studies lying in a novel context. Previous work has focused on situations in which people are either fully aware of the economic consequences of all available actions (e.g., die-under-cup paradigm), or they are uncertain, but this uncertainty cannot be cleared in any way (e.g.,...

Although many signaling situations are best interpreted as repeated games, prior research often models them as one-shot games. We analyze a class of repeated signaling games in which the informed player's type is persistent and the history of actions is perfectly observable. In this context a...

We experimentally investigate how reputational concerns affect behavior in repeated Tullock contests by comparing expenditures of participants interacting in fixed groups with the expenditures of participants interacting with randomly changing opponents. When participants receive full...

The impact finance market has sought to 'internalise externalities and adjust risk perceptions' (G20 Green Finance Study Group, 2016), demonstrating the private sector's capability in resolving the climate free-rider problem through the 'greening' of economic activities, partially bypassing...

After discussing various approaches about heroic behaviour in the literature, we first give a definition and classification of moral behaviour, in distinction to intrinsically motivated and 'prudent' behaviour. Then, we present some arguments on the function of moral behaviour according to...

We showed in McLean and Postlewaite (2014) that when agents are informationally small, there exist small modifications to VCG mechanisms in interdependent value problems that restore incentive compatibility. This paper presents a two-stage mechanism that similarly restores incentive...