We study sequential search without priors. Our interest lies in decision rules that are close to being optimal under each prior and after each history. We call these rules robust. The search literature employs optimal rules based on cutoff strategies, and these rules are not robust. We derive...

We consider the problem of pricing a single object when the seller has only minimal information about the true valuation of the buyer. Specifically, the seller only knows the support of the possible valuations and has no further distributional information.The seller is solving this choice...

When should one pay the ferryman? When to pay for the delivery of a good and how to invest in a public good if there is a single transaction and institutions are costly? We show how to solve the hold-up problem. The idea is to appropriately split up the desired total contribution into several...

This paper introduces the concept of ordient for binary relations (prefer-ences), a relative of the concept of gradient for functions (utilities). The mainmotivation for this study is to replace the binary relation at the center stageof economic analysis, rather than its representation (whenever...

A natural way to obtain information about the concentration and dispersion of an expert's beliefs is to ask for a confidence interval. Our objective is to design an elicitation mechanism that rewards the expert on the basis of the realized event and satisfies a set of desirable properties. We...

The stochastic inequality test is an exact non-parametric test that can be used to infer whether values in one random sample tend to be higher than in another. In addition it can be used to derive a confidence interval around an intuitive measure of effect size that is readily interpretable...