We study a sequential two-stage all-pay auction with two identical prizes. In each stage, the players compete for one prize and each player may win either one or two prizes. The designer may impose a cap on the players' bids in each of the stages. We analyze the equilibrium in this sequential...

We study optimal contest design in situations where the designer can reward high performance agents with positive prizes and punish low performance agents with negative prizes. We link the optimal prize structure to the curvature of distribution of abilities in the population. In particular, we...

We study all-pay auctions with multiple prizes. The players have the same value for all the certain prizes except for one uncertain prize for which each player has a private value. We characterize the equilibrium strategy and show that if the number of prizes is smaller than the number of...

Nominal price and wage rigidity renders monetary policy effective over output. However, this effectiveness extends, under widely used overlapping-wage and Calvo-contract Phillips Curves, to planned monetary policy (‘exploitability’) and not merely to policy surprises. We argue that within...

We study two-stage all-pay auctions with two identical prizes. In each stage, players compete for one prize. Each player may win either one or two prizes. We analyze the equilibrium strategies where players' marginal values for the prizes are either declining or inclining.

The paper surveys recent analyses of rising unemployment in Europe based on the concept of the natural rate. It argues that there is a continuity of analysis from the classics through Keynes to these more recent approaches. Theories of efficiency wages, hysteresis, and insiders/outsiders are...

We log-linearise the Dellas and Tavlas (DT) model of monetary union and solve it analytically. We find that the intuition of optimal currency analysis of DT's second generation open economy model is essentially the same as that of first generation models. Monetary union results in no welfare...