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...

In this article, we study the point predictions that forecasters report when they are asked to predict the realisation of an iid random variable. We set up a laboratory experiment where the participants act as forecasters predicting the next realisation of random draws coming from different...

Survey questions that elicit point predictions regarding uncertain events face an important challenge as human forecasters use various statistics to summarise their subjective expectations. In this paper, we take up the challenge and study whether alternative formulations of the questions used...

We study banks' incentive to pool assets of heterogeneous quality when investors evaluate pools by extrapolating from limited sampling. Pooling assets of heterogeneous quality induces dispersion in investors' valuations without affecting their average. Prices are determined by market clearing...

In this paper, we show that firms might get an additional strategic benefit from using marginal-cost-reducing investments in conjunction with a managerial incentive scheme. While both these instruments allow firms to “aggressively” participate in product market competition, we show that they...

We describe a methodology for making counterfactual predictions when the information held by strategic agents is a latent parameter. The analyst observes behavior which is rationalized by a Bayesian model in which agents maximize expected utility, given partial and differential information...

We describe a methodology for making counterfactual predictions when the information held by strategic agents is a latent parameter. The analyst observes behavior which is rationalized by a Bayesian model in which agents maximize expected utility given partial and differential information about...

This paper studies a class of robust mean-variance portfolio selection problems with state-dependent risk aversion. Model uncertainty, in the sense of considering alternative dominated models, is introduced to the problem to reflect the investor's ambiguity aversion. To characterize the robust...