467,814 research outputs found

    2012 ACSSC Program

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    2013 ACSSC Program

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    2011 ACSSC Program

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    Inequality and segregation

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    This paper explores the manner in which race and income interact to determine patterns of residential location in metropolitan areas. We use a framework in which individuals care about both the level of affluence and the racial composition of their communities, and in which there are differences in income both within and between groups. Three main findings emerge. First, conditional on income, black households experience lower neighborhood quality relative to whites at any stable equilibrium. Second, extreme levels of segregation can be stable when racial income disparities are either large or negligible, but unstable in some intermediate range. Third, there exist multiple stable equilibria with very different levels of segregation when racial income disparities are sufficiently small. These results hold even when preferences are pro-integrationist, in the sense that racially mixed neighborhoods within a certain range are strictly preferred by all households to homogenous neighborhoods of either type.

    Bertrand-Edgeworth equilibrium: Manipulable residual demand

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    In this paper we seek to provide a resolution of the Edgeworth paradox for the case where firms are free to supply less than the quantity demanded, the residual demand function is {\it manipulable} (a generalization of the proportional one) and prices vary over a grid. We demonstrate that a unique equilibrium in pure strategies exist whenever the number of firms is sufficiently large. Interestingly, the equilibrium involves excess production. Moreover, depending on the parameter values, the `folk theorem' of perfect competition may or may not hold. The results go through even if the firms are asymmetric, or produce to order.Bertrand equilibrium, pure strategy, manipulable residual demand

    Pilot Conservation Commission Circuit Rider Program

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    The purpose of this pilot project was to increase the effectiveness of the three Conservation Commissions in the Exeter River watershed. The Towns of Kensington, Kingston, and Sandown were selected based on their interest in the program and their need for professional planning assistance. Rockingham Planning Commission staff attended monthly meetings of each Conservation Commission to discuss and implement short-term and long-term projects. The three Conservation Commissions selected two natural resource protection projects to work on with RPC assistance. The scope of these projects ranged from very basic, such as establishing a process for record keeping in Kingston, to more advanced, such as indepth discussions on protecting wildlife habitat in Kensington and development of several land use regulations in Sandown. With just several hours of professional assistance each month, each Commission was able to complete projects that will increase their community’s ability to protect natural resources

    Planning and Proof Planning

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    . The paper adresses proof planning as a specific AI planning. It describes some peculiarities of proof planning and discusses some possible cross-fertilization of planning and proof planning. 1 Introduction Planning is an established area of Artificial Intelligence (AI) whereas proof planning introduced by Bundy in [2] still lives in its childhood. This means that the development of proof planning needs maturing impulses and the natural questions arise What can proof planning learn from its Big Brother planning?' and What are the specific characteristics of the proof planning domain that determine the answer?'. In turn for planning, the analysis of approaches points to a need of mature techniques for practical planning. Drummond [8], e.g., analyzed approaches with the conclusion that the success of Nonlin, SIPE, and O-Plan in practical planning can be attributed to hierarchical action expansion, the explicit representation of a plan's causal structure, and a very simple form of propo..
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