Suppes’ probabilistic theory of causality and causal inference in economics

Julian Reiss

Journal of Economic Methodology, 2016, vol. 23, issue 3, 289-304

Abstract: This paper examines Patrick Suppes’ probabilistic theory of causality understood as a theory of causal inference, and draws some lessons for empirical economics and contemporary debates in the foundations of econometrics. It argues that a standard method of empirical economics, multiple regression, is inadequate for most but the simplest applications, that the Bayes’ nets approach, which can be understood as a generalisation of Suppes’ theory, constitutes a considerable improvement but is still subject to important limitations, and that the currently fashionable ‘design-based approach’ suffers from the same flaws Suppes anticipated a long time ago. It then sketches an alternative in response, one that differs drastically from the formalisms Suppes endorsed but is consistent with his pragmatic general take on science.

Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/1350178X.2016.1189127 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jecmet:v:23:y:2016:i:3:p:289-304

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RJEC20

DOI: 10.1080/1350178X.2016.1189127

Access Statistics for this article

Journal of Economic Methodology is currently edited by John Davis and D Wade Hands

More articles in Journal of Economic Methodology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().