We examine who benefits when there is a strong leader in place, and those who benefit when a situation lacks a proper leader. There are fractious terrorist groups who seek to serve the same people in a common cause against a common enemy. The groups compete for rents obtained from the public by...

We study equilibrium in a multistage race in which players compete in a sequence of simultaneous move component contests. Players may win a prize for winning each component contest, as well as a prize for winning the overall race. Each component contest is an all-pay auction with complete...

We consider the properties of perfectly discriminating contests in which players' abilities are stochastic, but become common knowledge before efforts are expended. Players whose expected ability is lower than that of their rivals may still earn a positive expected payoff from participating in...

We compare the treatment of Colombia in large cross-country conflict datasets with the information of the detailed micro dataset of Restrepo, Spagat and Vargas (2003). We find a general tendency of the big datasets to underestimate the magnitude of the Colombian conflict and to mischaracterize...

We characterize the unique Markov perfect equilibrium of a tug-of-war without exogenous noise, in which players have the opportunity to engage in a sequence of battles in an attempt to win the war. Each battle is an all-pay auction in which the player expending the greater resources wins. In...

Analysis of our new, 16-year dataset on the Colombian civil war finds under Uribe: guerrilla and paramilitary attacks dropping sharply against long-run averages since 1988, lower for April-December, 2003; government-guerrilla clashes at all-time highs, exceeding guerrilla attacks; civilian killings...

We present a detailed, high-frequency dataset on the civil conflict in Colombia during the period 1988-2002. We briefly introduce the Colombian case and the methodological issues that hinder data collection in civil wars, before presenting the pattern over time of conflict actions and intensity...