Download PDF by Donald G. Saari (auth.), Prof. C. D. Aliprantis, Prof. O.: Advances in Equilibrium Theory: Proceedings of the

By Donald G. Saari (auth.), Prof. C. D. Aliprantis, Prof. O. Burkinshaw, Prof. N. J. Rothman (eds.)

ISBN-10: 3540152296

ISBN-13: 9783540152293

ISBN-10: 3642516025

ISBN-13: 9783642516023

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Read Online or Download Advances in Equilibrium Theory: Proceedings of the Conference on General Equilibrium Theory Held at Indiana University-Purdue University at Indianapolis, USA, February 10–12, 1984 PDF

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Extra resources for Advances in Equilibrium Theory: Proceedings of the Conference on General Equilibrium Theory Held at Indiana University-Purdue University at Indianapolis, USA, February 10–12, 1984

Example text

S. Shapley [Shapley, 1953]. Value is a cooperative solution concept that is generally interpreted as a characterization of "fairness". Typically, value is described as assigning to each player a payoff equal to his expected marginal, or incremental, contribution to the payoff of each possible coalition of players that he might join, where it is assumed that all coalitions are equally probable. More briefly it may be described as giving each player his "prospects" in playing agame. The notion of value allocation is a natural extension of the value concept to an economic setting.

EXAMPLE 9. Consider the one consumer economy described by Figure 10, where x is an optimum supported by p but p. w = o. 2 y= {w} -lR+ FIGURE 10 For the exchange ca se , i. e. Y = {w} - lR~, the next resul t gi ves a sufficient condition for a weak optimum to be a proper quasiequilibrium. [XIII] Under [k]. Xi =lR; and monotone prelerences lor aZZ i every weak optimum is a proper quasiequiZibrium. and Y= {w} -lRJ. PROOF. Let r be the cone given by [klo We must have w ~ o. The proof will proceed under the further condition that -w Er.

Is locally non-saturated, xE V. conclude By the convexity hypothesis is an optimum, Y n V = ~ • X is also convex ([g]) we can find, by the Separating Hyperplane Theorem, a for all "'i Xi}. Z l=a is convex. Hence a E m. such that p. x which allows us to z E Y (profit maximization condition). Let now v "'I Xl and pick v' >1 v arbitrarily close to v. x 1 • Similarly,let v " ' i x i , i > l . Say i=2. Take Z>lX l trarily close to Xl. (z+v+x 3 + ... , p. (z + v) ~ p. (Xl + X2). Therefore, X Letting Xl z - we conclude p·v is a quasiequilibrium with respect to ~ arbi- P·x2.

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Advances in Equilibrium Theory: Proceedings of the Conference on General Equilibrium Theory Held at Indiana University-Purdue University at Indianapolis, USA, February 10–12, 1984 by Donald G. Saari (auth.), Prof. C. D. Aliprantis, Prof. O. Burkinshaw, Prof. N. J. Rothman (eds.)


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