Mouchart, M. and Russo, F. and Wunsch, G. (2007) Causality, structural modelling, and exogeneity. IAP Statistics Network.
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This paper deals with causal analysis in the social sciences. We first present a conceptual framework according to which causal analysis is based on a rationale of variation and invariance, and not only on regularity. We then develop a formal framework for causal analysis by means of structural modelling. Within this framework we approach causality in terms of exogeneity in a structural conditional model based on (i) model fit, (ii) invariance under a large variety of environmental changes, and (iii) congruence with background knowledge. We also tackle the issue of confounding and show how latent confounders can play havoc with exogeneity. This framework avoids making untestable metaphysical claims about causal relations and yet remains useful for cognitive and action-oriented goals.
|Additional information:||Technical Report No 07012|
|Subjects:||B Philosophy. Psychology. Religion > B Philosophy (General)|
|Divisions:||Faculties > Humanities > School of European Culture and Languages|
|Depositing User:||Fiona Godfrey|
|Date Deposited:||08 Aug 2008 11:38|
|Last Modified:||14 Jan 2010 14:41|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/10818 (The current URI for this page, for reference purposes)|
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