Desert and Distributive Efficiency

It is highly desirable for an allocation of goods to be efficient. However, one might also deem it important that an allocation gives individuals what they deserve. This paper investigates whether it is possible for an allocation to be both efficient and give people what they deserve. It will first of all consider comparative desert, and conclude that it is possible to satisfy both desiderata. It will then consider absolute desert by integrating Shelly Kagan’s work on desert and economic theory. The conclusion will be that there are potential conflicts between absolute desert and efficiency. The paper will then examine how to select the best compromise between the two values, considering several different conceptions of absolute desert.

Learning to be different:heterogeneity and efficiency in distributed smart camera networks

In this paper we study the self-organising behaviour of smart camera networks which use market-based handover of object tracking responsibilities to achieve an efficient allocation of objects to cameras. Specifically, we compare previously known homogeneous configurations, when all cameras use the same marketing strategy, with heterogeneous configurations, when each camera makes use of its own, possibly different marketing strategy. Our first contribution is to establish that such heterogeneity of marketing strategies can lead to system wide outcomes which are Pareto superior when compared to those possible in homogeneous configurations. However, since the particular configuration required to lead to Pareto efficiency in a given scenario will not be known in advance, our second contribution is to show how online learning of marketing strategies at the individual camera level can lead to high performing heterogeneous configurations from the system point of view, extending the Pareto front when compared to the homogeneous case. Our third contribution is to show that in many cases, the dynamic behaviour resulting from online learning leads to global outcomes which extend the Pareto front even when compared to static heterogeneous configurations. Our evaluation considers results obtained from an open source simulation package as well as data from a network of real cameras. © 2013 IEEE.

Probabilistic Assignments of Identical Indivisible Objects and Uniform Probabilistic Rules.

We consider a probabilistic approach to the problem of assigning k indivisible identical objects to a set of agents with single-peaked preferences. Using the ordinal extension of preferences, we characterize the class of uniform probabilistic rules by Pareto efficiency, strategy-proofness, and no-envy. We also show that in this characterization no-envy cannot be replaced by anonymity. When agents are strictly risk averse von-Neumann-Morgenstern utility maximizers, then we reduce the problem of assigning k identical objects to a problem of allocating the amount k of an infinitely divisible commodity.

Priorities in the Location of Multiple Public Facilities

A collective decision problem is described by a set of agents, a profile of single-peaked preferences over the real line and a number k of public facilities to be located. We consider public facilities that do not su¤er from congestion and are non-excludable. We provide a characterization of the class of rules satisfying Pareto-efficiency, object-population monotonicity and sovereignty. Each rule in the class is a priority rule that selects locations according to a predetermined priority ordering among interest groups. We characterize each of the subclasses of priority rules that respectively satisfy anonymity, hiding-proofness and strategy-proofness. In particular, we prove that a priority rule is strategy-proof if and only if it partitions the set of agents into a fixed hierarchy. Alternatively, any such rule can be viewed as a collection of fixed-populations generalized peak-selection median rules (Moulin, 1980), that are linked across populations, in a way that we describe.

Squattage militant : entre efficience parétienne et principe de justice

Le squattage militant est étudié du point du vue du fonctionnement du marché immobilier et des principes de justice libérale. On montre que certains cas de vacance peuvent être considérés comme des défaillances du marché et que, sous certaines conditions, le squattage peut être pareto-améliorant. On examine ensuite le squattage du point de vue des principes de justice en considérant la question des goûts dispendieux, qui doit être relogé, l'éventualité du paiement d'un loyer et la base informationnelle requise pour le relogement.

Centralized allocation in multiple markets

We study the problem of centralized allocation of indivisible objects in multiple markets. We show that the set of allocation rules that are group strategy-proof and Pareto-efficient are sequential dictatorships. Therefore, the solution of the joint al-location in multiple markets is significantly narrower than in the single-market case. Our result also applies to dynamic allocation problems. Finally, we provide conditions under which the solution of the single-market allocation coincides with the multiple-market case, and we apply this result to the study of the school choice problem with sibling priorities.

The optimality of the Friedman rule when some distorting taxes are exogenous

This paper investigates the optimality of the Friedman rule in a two-sector small open economy. That policy prescription is found to be a necessary condition for Pareto efficiency. If a planner can select all conceivable distorting taxes, then, for some initial values of public debt, money balances and foreign assets, it is possible to decentralize a Pareto efficient allocation. If the planner can select only some of these tax rates, then second-best policies may also satisfy the Friedman rule. However, this last result depends on the set of tax instruments the planner can choose from.

Static, dynamic, and adaptive heterogeneity in distributed smart camera networks

We study heterogeneity among nodes in self-organizing smart camera networks, which use strategies based on social and economic knowledge to target communication activity efficiently. We compare homogeneous configurations, when cameras use the same strategy, with heterogeneous configurations, when cameras use different strategies. Our first contribution is to establish that static heterogeneity leads to new outcomes that are more efficient than those possible with homogeneity. Next, two forms of dynamic heterogeneity are investigated: nonadaptive mixed strategies and adaptive strategies, which learn online. Our second contribution is to show that mixed strategies offer Pareto efficiency consistently comparable with the most efficient static heterogeneous configurations. Since the particular configuration required for high Pareto efficiency in a scenario will not be known in advance, our third contribution is to show how decentralized online learning can lead to more efficient outcomes than the homogeneous case. In some cases, outcomes from online learning were more efficient than all other evaluated configuration types. Our fourth contribution is to show that online learning typically leads to outcomes more evenly spread over the objective space. Our results provide insight into the relationship between static, dynamic, and adaptive heterogeneity, suggesting that all have a key role in achieving efficient self-organization.

An Afriat theorem for the collective model of household consumption

We provide a nonparametric 'revealed preference’ characterization of rational household behavior in terms of the collective consumption model, while accounting for general (possibly non-convex) individual preferences. We establish a Collective Axiom of Revealed Preference (CARP), which provides a necessary and sufficient condition for data consistency with collective rationality. Our main result takes the form of a ‘collective’ version of the Afriat Theorem for rational behavior in terms of the unitary model. This theorem has some interesting implications. With only a finite set of observations, the nature of consumption externalities (positive or negative) in the intra-household allocation process is non-testable. The same non-testability conclusion holds for privateness (with or without externalities) or publicness of consumption. By contrast, concavity of individual utility functions (representing convex preferences) turns out to be testable. In addition, monotonicity is testable for the model that assumes all household consumption is public.

Efficience et normativité : examen de la légitimité de l'utilisation de la notion d’efficience économique pour l'évaluation de politiques publiques

Ce texte a pour but de monter que l’efficience telle qu’utilisée par les économistes dans le cadre de recommandations de politiques publiques suppose toujours l’adoption de certains critères moraux. Je voudrai d’abord montrer que les recommandations des économistes en matière de politiques publiques ont déjà été identifiées aux recommandations de l’utilitarisme. Plusieurs économistes ont voulu abstraire leur science de toute discussion morale au XXe siècle. Cette séparation entre faits et valeur s’est soldée par l’apparition de l’efficience de Pareto, grandement utilisée dans le cadre de l’économie du bien-être. Cependant, cette utilisation de l’efficience suppose à la fois qu’il est moralement désirable d’améliorer le bien-être des individus et que ce bien-être peut être évalué en termes de satisfaction des préférences, ce qui constitue un jugement de nature éthique et morale qui ne peut être fait seulement à partir de faits scientifiques. L’efficience ne peut plutôt être utilisée de manière non moralement discutable seulement si l’on examine au préalable les objectifs sociaux que l’utilisation de cette mesure présuppose. D’un point de vue scientifique, l’économiste qui veut utiliser une mesure d’efficience doit donc toujours prendre pour acquis les éléments normatifs qui sont intégrés aux calculs d’efficience. La discussion concernant la pertinence de ces objectifs sociaux ainsi que l’importance relative de chacun des objectifs sociaux est une discussion portant avant tout sur des questions morales qui ne sont pas du domaine des sciences économiques.

Efficience et normativité : examen de la légitimité de l'utilisation de la notion d’efficience économique pour l'évaluation de politiques publiques

Ce texte a pour but de monter que l’efficience telle qu’utilisée par les économistes dans le cadre de recommandations de politiques publiques suppose toujours l’adoption de certains critères moraux. Je voudrai d’abord montrer que les recommandations des économistes en matière de politiques publiques ont déjà été identifiées aux recommandations de l’utilitarisme. Plusieurs économistes ont voulu abstraire leur science de toute discussion morale au XXe siècle. Cette séparation entre faits et valeur s’est soldée par l’apparition de l’efficience de Pareto, grandement utilisée dans le cadre de l’économie du bien-être. Cependant, cette utilisation de l’efficience suppose à la fois qu’il est moralement désirable d’améliorer le bien-être des individus et que ce bien-être peut être évalué en termes de satisfaction des préférences, ce qui constitue un jugement de nature éthique et morale qui ne peut être fait seulement à partir de faits scientifiques. L’efficience ne peut plutôt être utilisée de manière non moralement discutable seulement si l’on examine au préalable les objectifs sociaux que l’utilisation de cette mesure présuppose. D’un point de vue scientifique, l’économiste qui veut utiliser une mesure d’efficience doit donc toujours prendre pour acquis les éléments normatifs qui sont intégrés aux calculs d’efficience. La discussion concernant la pertinence de ces objectifs sociaux ainsi que l’importance relative de chacun des objectifs sociaux est une discussion portant avant tout sur des questions morales qui ne sont pas du domaine des sciences économiques.

Using Pareto principle plus statistic methodology in establishing a cost estimating model

Previous experience and research indicated that the Pareto Principle (80/20 Principle) has been widely used in many industries to achieve more with less. The study described in this paper concurs that this principle can be applied to improve the estimating accuracy and efficiency, especially in design development stage of projects. In fact, establishing an effective cost estimating model to improve accuracy and efficiency in design development stage has been a subject, which has attracted many research attentions over several decades. For over almost 40 years, research studies indicate that using the 80/20 Principle is one of the approaches. However, most of these studies were built by assumption, theoretical analysis or questionnaire survey. The objective of this research is to explore a logical and systematic method to establish a cost estimating model based on the Pareto Principle. This paper includes extensive literatures review on cost estimating accuracy and efficiency in the construction industry that points out the current gap of knowledge area and understanding of the topical. These reviews assist in developing the direction for the research and explore the potential methodology of using the Pareto Principle in the new cost estimating model. The findings of this paper suggest that combining the Pareto Principle with statistical analysis could be used as the technique to improve the accuracy and efficiency of current estimating methods in design development stage.

On the efficiency of equal sacrifice income tax schedules

In an economy which primitives are exactly those in Mirrlees (1971), we investigate the efficiency of labor income tax schedules derived under the equal sacrifice principle. Starting from a given government revenue level, we use Werning’s (2007b) approach to assess whether there is an alternative tax schedule to the one derived under the equal sacrifice principle that raises more revenue while delivering less utility to no one. For our preferred parametrizations of the problem we find that inefficiency only arises at very high levels of income. We also show how the multipliers of the Pareto problem may be extracted from the data and used to find the implicit marginal social weights associated with each level of income.

On the efficiency of an alternative codification for multiobjective service restoration in electric distribution networks

This paper proposes an alternative codification to solve the service restoration in electric power distribution networks using a SPEA2 multiobjective evolutionary algorithm, assuming the minimization of both the load not supplied and the number of switching operations involved in the restoration plan. Constrains as the line, power source and voltage drop limits in order to avoid the activation of protective devices are all included in the proposed algorithm. Experimental results have shown the convenience on considering these new representations in the sense of feasibility maintenance and also in the sense of better approximation to the Pareto set. ©2009 IEEE.

SOP: Parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems

This paper presents a parallel surrogate-based global optimization method for computationally expensive objective functions that is more effective for larger numbers of processors. To reach this goal, we integrated concepts from multi-objective optimization and tabu search into, single objective, surrogate optimization. Our proposed derivative-free algorithm, called SOP, uses non-dominated sorting of points for which the expensive function has been previously evaluated. The two objectives are the expensive function value of the point and the minimum distance of the point to previously evaluated points. Based on the results of non-dominated sorting, P points from the sorted fronts are selected as centers from which many candidate points are generated by random perturbations. Based on surrogate approximation, the best candidate point is subsequently selected for expensive evaluation for each of the P centers, with simultaneous computation on P processors. Centers that previously did not generate good solutions are tabu with a given tenure. We show almost sure convergence of this algorithm under some conditions. The performance of SOP is compared with two RBF based methods. The test results show that SOP is an efficient method that can reduce time required to find a good near optimal solution. In a number of cases the efficiency of SOP is so good that SOP with 8 processors found an accurate answer in less wall-clock time than the other algorithms did with 32 processors.