Optimal actions of an agent facing a Shannon capacity constraint on the translation of an uncertain signal into an action can easily turn out to be discretely distributed, even when the objective function and the initial distribution of uncertainty contain no discrete elements. We show this...

Often, individuals must choose among discrete alternatives with imperfect information about their values, such as selecting a job candidate, a vehicle or a university. Before choosing, they may have an opportunity to study the options, but doing so is costly. This costly information acquisition...

The so-called unskilled-and-unaware problem was experimentally identified a decade ago: The unskilled are seemingly afflicted by a double curse because they also seem unaware of their (relative) lack of skills. Numerous authors have elaborated on this problem – experimentally as well as...

In a series of articles and manuscripts (e.g., Kruger & Dunning, 1999, Dunning et al.,2003, Ehrlinger et al., 2005), Dunning, Kruger and their collaborators argued that the unskilled lack the metacognitive ability to realize their incompetence. We propose that the unskilled-and-unaware problem...

The paper proves, by construction, the existence of Markovian equilibria in a model of dynamic spatial legislative bargaining. Players bargain over policies in an infinite horizon. In each period, a majority vote takes place between the proposal of a randomly selected player and the status-quo,...

We study price discrimination in a monopolistic software market. The monopolist charges different prices for the upgrade version and for the full version. Consumers are heterogeneous in taste for infinitely durable software and there is no resale. We show that price discrimination leads to a...

The recent crisis revived interest in financial transaction taxes (FTTs) as a means to offset negative risk externalities. However, up-to-date academic research does not provide sufficient insights into the effects of transaction taxes on financial markets as the literature has here-to-fore been...

In this paper we develop a general methodology for solving models with heterogeneous agents by projection methods. Our approach is solely based on the functional forms of agents’ optimal policy rules and on a functional condition on the endogenous stationary distribution. Solving...

Results of data envelopment analysis sensitively respond to stochastic noise in the data. In this paper, by introduction of output augmentation and input reduction I extend additive models for stochastic data envelopment analysis (SDEA), which were developed by Li (1998) to handle the noise in...

In this paper we develop a new methodology for finding optimal government policies in economies with heterogeneous agents. The methodology is solely based on three classes of equilibrium conditions from the government’s and individual agent’s optimization problems: 1) the first order...