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 Note on Bossert, Pattanaik and Xu’s “Choice under complete uncertainty: axiomatic characterization of some decision rules”(2002) Arlegi Pérez, Ricardo; Economía; EkonomiaRecent work by Bossert, Pattanaik and Xu provides axiomatic characterizations of some decision rules for individual decision making under complete uncertainty. This note shows that, in the case of two of these rules, they do not satisfy one of the axioms used for their characterization. A counterexample illustrating this fact is provided, as well as an alternative way to characterize the two rules under consideration, mantaining as far as possible the original axioms proposed by Bossert, Pattanaik and Xu.Publication Open Access On the equivalence of the two existing extensions of the leximax criterion to the infinite case(2006) Arlegi Pérez, Ricardo; Ballester Oyarzun, Miguel Ángel; Besada, M.; Miguel Velasco, Juan Ramón de; Nieto Vázquez, Jorge; Vázquez, C.; Economía; EkonomiaUsing a common framework, we consider the two existing extensions of the leximax criterion to infinite environments (Arlegi et al. (2005) and Ballester and De Miguel (2003), and show that, though the respective definitions of the rules and their axiomatic characterizations appear to differ considerably, they actually propose the same extension of the leximax criterion to the infinite case.Publication Open Access Ranking sets additively in decisional contexts: an axiomatic characterization(2006) Arlegi Pérez, Ricardo; Rodríguez Alcantud, José Carlos; Economía; EkonomiaRanking finite subsets of a given set X of elements is the formal object of analysis in this paper. This problem has found a wide range of economic interpretations in the literature. The focus of the paper is on the family of rankings that are additively representable. Existing characterizations are too complex and hard to grasp in decisional contexts. Furthermore, Fishburn [13] showed that the number of sufficient and necessary conditions that are needed to characterize such a family has no upper bound as the cardinality of X increases. In turn, this paper proposes a way to overcome these difficulties and allows for the characterization of a meaningful (sub)family of additively representable rankings of sets by means of a few simple axioms. Pattanaik and Xu’s [21] characterization of the cardinality based rule will be derived from our main result, and other new rules that stem from our general proposal are discussed and characterized in even simpler terms. In particular, we analyze restricted-cardinality based rules, where the set of “focal” elements is not given ex-ante; but brought out by the axioms.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 Uncertainty with ordinal likelihood information(2007) Alcalde Unzu, Jorge; Arlegi Pérez, Ricardo; Economía; EkonomiaThis paper proposes a new framework of choice under uncertainty, where the only information available to the decision maker is about the the ordinal likelihood of the different outcomes each action generates. This contrasts both with the classical models where the potential outcomes of each action have an associated probability distribution, and with the more recent complete uncertainty models, where the agent has no information whatever about the probability of the outcomes, even of an ordinal nature. We present an impossibility result in our framework, and some ways to circumvent it that result in different ranking rules.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.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 and conflict resolution(2005) Arlegi Pérez, Ricardo; Economía; EkonomiaThis work is an output of my participation in the project 'Procedural Approaches to Conflict Resolution', coordinated by Professor Matthias Raith. The main goal of the project was making an interdisciplinary approach to the issue of conflicts resolution. The intention of the paper is providing an introductory survey to the emerging literature on ranking sets and freedom of choice as a theoretical source for its application in conflicts resolution.