Causality, structural modelling, and exogeneity

Mouchart, Michael and Russo, Frederica and Wunsch, Guillaume (2007) Causality, structural modelling, and exogeneity. IAP Statistics Network. (The full text of this publication is not available from this repository)

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http://www.stat.ucl.ac.be/ISpub/tr/2007/TR07012.pd...

Abstract

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.

Item Type: Other
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: 05 Jun 2014 15:24
Resource URI: http://kar.kent.ac.uk/id/eprint/10818 (The current URI for this page, for reference purposes)
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