Arlegi Pérez, Ricardo
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Arlegi Pérez
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Ricardo
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Economía
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INARBE. Institute for Advanced Research in Business and Economics
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Publication Open Access On freedom of choice, ambiguity, and the preference for easy choices(2006) Arlegi Pérez, Ricardo; Dimitrov, Dinko; Economía; EkonomiaThis paper is devoted to the study of opportunity set comparisons when the characteristics of the options within the sets in question may be ambiguous. We assume that agents display a preference for freedom of choice, but also aversion to the presence of ambiguous options. We propose a suitable environment for approaching this problem, and provide axiomatic characterizations of several rules for ranking sets in such a context.Publication Open Access On procedural freedom of choice(2004) Arlegi Pérez, Ricardo; Dimitrov, Dinko; Economía; EkonomiaNumerous works in the last decade have analyzed the question of how to compare opportunity sets as a way to measure and evaluate individual freedom of choice. This paper defends that, in many contexts, external procedural aspects that are associated to an opportunity set should be taken into account when making judgements about the freedom of choice an agent enjoys. We propose criteria for comparing procedure-based opportunity sets that are consistent with both the procedural aspect of freedom and most of the standard theories of ranking opportunity sets.Publication Open Access Freedom of choice: the leximax criterion in the infinite case(2006) Arlegi Pérez, Ricardo; Besada, M.; Nieto Vázquez, Jorge; Vázquez, C.; Economía; EkonomiaMany recent works have investigated the problem of extending a preference over a set of alternatives to its power set, in an attempt to provide a formal representation of the notion of freedom of choice. In general, results are limited to the finite case, which excludes, for instance, the case of economic environments. This paper deals with the possibility of extending those results to the context where the basic set of alternatives is the n-dimensional Euclidean space. We present an extension of the leximax criterion described by Bossert, Pattanaik and Xu (1994) to this more general framework.