Having information about an uncertain event is crucial for informed decision-making. This paper introduces a simple framework in which 1) a principal uses the reported beliefs of multiple agents to make a decision and 2) the agents reporting a belief are affected by the decision. Naturally, the...

This paper uses Duffie and Singleton (1999) discount model for defaultable bonds to infer the presence of a preferential credit treatment (PCT) for Multilateral Development Banks (MDBs) in loss given default (LGD) space. The main inferences from the paper are twofold. -1- Lower lending fees in...

We examine the allocation of a limited pool of matching funds to public good projects using Quadratic Funding. In particular, we consider a variation of the Capital Constrained Quadratic Funding (CQF) mechanism proposed by Buterin, Hitzig and Weyl (2019) where only funds in the matching pool are...

The emergence of high frequency trading has resulted in `bursts' of orders arriving at an exchange (nearly) simultaneously, yet most electronic financial exchanges implement the continuous limit order book which requires processing of orders serially. Contrary to an assumption that appears...

We use a game theoretical framework to analyze the intraday behavior of banks with respect to settlement of interbank claims in a real time gross settlement setting. We find that the game played by banks depends upon the intraday credit policy of the central bank and that it encompasses two...

We use a game theoretical framework to analyze the intraday behavior of banks with respect to settlement of interbank claims in a real time gross settlement setting. We find that the game played by banks depends upon the intraday credit policy of the central bank and that it encompasses two...

We conduct laboratory experiments on variants of market scoring rule prediction markets, under different information distribution patterns, in order to evaluate the efficiency and speed of information aggregation, as well as test recent theoretical results on manipulative behavior by traders. We...

We analyze a class of games with interdependent values and linear best responses. The payoff uncertainty is described by a multivariate normal distribution that includes the pure common and pure private value environment as special cases. We characterize the set of joint distributions over...

We use machine learning to uncover regularities in the initial play of matrix games. We first train a prediction algorithm on data from past experiments. Examining the games where our algorithm predicts correctly, but existing economic models don't, leads us to add a parameter to the best...

This paper studies a robustness of solutions in finite depth of reasoning models. The level-k and cognitive hierarchy models conventionally assume that each player has a commonly known anchor behavior to obtain a sharp prediction. We provide a general framework to examine whether the obtained...