Statistical modelling and causality in the social sciences

Russo, Federica [UCL] Mouchart, Michel [UCL] Ghins, Michel [UCL] Wunsch, Guillaume [UCL]

Philosophers and statisticians have been debating on causality for a long time. However, these discussions have been led quite independently from each other. An objective of this paper is to pursue a fruitful dialogue between philosophy and statistics. As is well known, at the beginning of the 20th century, some philosophers and statisticians dismissed the concept of causality altogether. It will suffice to mention Bertrand Russell (1913) and Karl Pearson (1911). Almost a hundred years later, causality still represents a central topic both in philosophy and statistics.

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Document type	Document de travail (Working Paper)
Access type	Accès libre
Publication date	2006
Language	Anglais
Number of pages	19 pages
Collection	STAT Discussion Papers - 0601
Affiliations	UCL - ISP/LOFS - Logique et philosophie des sciences UCL - EUEN/STAT - Institut de statistique UCL - ESPO/SPED - Département des sciences de la population et du développement
Links	http://sites.uclouvain.be/IAP-Stat-Phase-V-VI/ISBApub/ISBAdp.html#2006 http://hdl.handle.net/2078.1/126242[Handle]

See also
	[boreal:82027]	Statistical Modelling and Causality in the Social Sciences