This article studies the design of optimal mechanisms to regulate entry in natural oligopoly markets, assuming the regulator is unable to control the behavior of firms once they are in the market. We adapt the Clarke-Groves mechanism, characterize the optimal mechanism that maximizes the...

Many consumption prices are highly volatile. It would certainly overburden our cognitive system to fully adjust to all these changes. Households therefore often rely on simple heuristics when deciding what to consume, e.g. in the form of a constant budget share for a specific consumption...

A model of herding behavior on the labor market is discussed where employers only receive signals with limited precision about the workers' types, but can observe previous employers' decisions. In particular, we study a situation where the employer and the worker can influence the signal...

In a complete financial market every contingent claim can be hedged perfectly. In an incomplete market it is possible to stay on the safe side by superhedging. But such strategies may require a large amount of initial capital. Here we study the question what an investor can do who is unwilling...

In this note the unobserved component approach underlying the software package SEATS is compared with the Beveridge-Nelson type of decomposition for seasonal time series. The main strength of the SEATS approach lies in the appealing model formulation and the careful specification and adjustment...

We emphasize the importance of properly identifying the long-run relations underlying the monetary model of the exchange rate. The separate estimation of long-run money demands leads to a "structural" error correction equation which allows an interpretation of the various channels affecting the...

Rational bargaining behavior depends crucially on the rules of bargaining, especially on whether parties decide sequentially or independently. Whereas in ultimatum bargaining the proposer can exploit the responder, independent commitments result in more balanced payoffs. To limit the scope of...

Discriminant analysis for two data sets in IRd with probability densities f and g can be based on the estimation of the set G = {x : f(x) ≥ g(x)}. We consider applications where it is appropriate to assume that the region G has a smooth boundary. In particular, this assumption makes sense if...