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A valid theory on probabilistic causation

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  • Jose M. Vidal-Sanz

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Abstract

In this paper several definitions of probabilistic causation are considered, and their main drawbacks discussed. Current notions of probabilistic causality have symmetry limitations (e.g. correlation and statistical dependence are symmetric notions). To avoid the symmetry problem, non-reciprocal causality is often defined in terms of dynamic asymmetry. But these notions are likely to consider spurious regularities. In this paper we present a definition of causality that does non have symmetry inconsistences. It is a natural extension of propositional causality in formal logics, and it can be easily analyzed with statistical inference. The modeling problems are also discussed using empirical processes.

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Bibliographic Info

Paper provided by Universidad Carlos III, Departamento de Economía de la Empresa in its series Business Economics Working Papers with number wb081702.

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Date of creation: Apr 2008
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Handle: RePEc:cte:wbrepe:wb081702

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Keywords: Causality; Empirical Processes and Classification Theory; 62M30; 62M15; 62G20;

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