93,564 research outputs found

    Public Choice and the Economic Analysis of Anarchy: A Survey

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    Public choice economists began studying the economics of anarchy in the 1970s. Since then, the amount of research on anarchy has burgeoned. This article surveys the important public choice contributions to the economics of anarchy. Following the lead of the early public choice economists, many current economists are researching and analyzing how individuals interact without government. From their non-public-interested explanations of the creation of government law enforcement to their historical studies of attempts to internalize externalities under anarchy, public choice scholars are arriving at a more realistic perspective on government and how people interact when government law enforcement is lacking. Although the economics of politics often receives more attention, the economics of anarchy is an important area of research in public choice.Anarchism; Lawlessness; Order; Internalization of Externalities; Self-Governance

    Public choice and the economic analysis of anarchy: a survey

    Get PDF
    Public choice economists began studying the economics of anarchy in the 1970s. Since then, the amount of research on anarchy has burgeoned. This article surveys the important public choice contributions to the economics of anarchy. Following the lead of the early public choice economists, many current economists are researching and analyzing how individuals interact without government. From their non-ublic-interested explanations of the creation of government law enforcement to their historical studies of attempts to internalize externalities under anarchy, public choice scholars are arriving at a more realistic perspective on government and how people interact when government law enforcement is lacking. Although the economics of politics often receives more attention, the economics of anarchy is an important area of research in public choice.anarchism; lawlessness; order; internalization of externalities; self-governance

    Bottleneck Routing Games with Low Price of Anarchy

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    We study {\em bottleneck routing games} where the social cost is determined by the worst congestion on any edge in the network. In the literature, bottleneck games assume player utility costs determined by the worst congested edge in their paths. However, the Nash equilibria of such games are inefficient since the price of anarchy can be very high and proportional to the size of the network. In order to obtain smaller price of anarchy we introduce {\em exponential bottleneck games} where the utility costs of the players are exponential functions of their congestions. We find that exponential bottleneck games are very efficient and give a poly-log bound on the price of anarchy: O(logLlogE)O(\log L \cdot \log |E|), where LL is the largest path length in the players' strategy sets and EE is the set of edges in the graph. By adjusting the exponential utility costs with a logarithm we obtain games whose player costs are almost identical to those in regular bottleneck games, and at the same time have the good price of anarchy of exponential games.Comment: 12 page

    Hierarchy and Anarchy in Quark Mass Matrices, or Can Hierarchy Tolerate Anarchy?

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    The consequences of adding random perturbations (anarchy) to a baseline hierarchical model of quark masses and mixings are explored. Even small perturbations of the order of 5% of the smallest non-zero element can already give deviations significantly affecting parameters of the Cabibbo-Kobayashi-Maskawa (CKM) matrix, so any process generating the anarchy should in general be limited to this order of magnitude. The regularities of quark masses and mixings thus appear to be far from a generic feature of randomness in the mass matrices, and more likely indicate an underlying order.Comment: 11 pages, LaTeX, 3 figures, to be submitted to Phys. Lett. B. Abstract and Introduction changed to better reflect conclusion

    The origins of governments: from anarchy to hierarchy

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    We analyze development trajectories of early civilizations where population size and technology are endogenous, and derive conditions under which such societies optimally ‘switch’ from anarchy to hierarchy – when it is optimal to elect and support a ruler. The ruler provides an efficient level of law and order, but creams off part of society's surplus for his own consumption. Switching to hierarchy occurs if the state of technology exceeds a threshold value, but societies may also be ‘trapped’ at lower levels of technology, perpetuating conditions of anarchy. We present empirical evidence based on the Standard Cross Cultural Sample that support the model's main predictions

    Non-clairvoyant Scheduling Games

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    In a scheduling game, each player owns a job and chooses a machine to execute it. While the social cost is the maximal load over all machines (makespan), the cost (disutility) of each player is the completion time of its own job. In the game, players may follow selfish strategies to optimize their cost and therefore their behaviors do not necessarily lead the game to an equilibrium. Even in the case there is an equilibrium, its makespan might be much larger than the social optimum, and this inefficiency is measured by the price of anarchy -- the worst ratio between the makespan of an equilibrium and the optimum. Coordination mechanisms aim to reduce the price of anarchy by designing scheduling policies that specify how jobs assigned to a same machine are to be scheduled. Typically these policies define the schedule according to the processing times as announced by the jobs. One could wonder if there are policies that do not require this knowledge, and still provide a good price of anarchy. This would make the processing times be private information and avoid the problem of truthfulness. In this paper we study these so-called non-clairvoyant policies. In particular, we study the RANDOM policy that schedules the jobs in a random order without preemption, and the EQUI policy that schedules the jobs in parallel using time-multiplexing, assigning each job an equal fraction of CPU time
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