EconPapers    
Economics at your fingertips  
 

Causal models and evidential pluralism in econometrics

Alessio Moneta and Federica Russo

Journal of Economic Methodology, 2014, vol. 21, issue 1, 54-76

Abstract: Social research, from economics to demography and epidemiology, makes extensive use of statistical models in order to establish causal relations. The question arises as to what guarantees the causal interpretation of such models. In this paper we focus on econometrics and advance the view that causal models are 'augmented' statistical models that incorporate important causal information which contributes to their causal interpretation. The primary objective of this paper is to argue that causal claims are established on the basis of a plurality of evidence. We discuss the consequences of 'evidential pluralism' in the context of econometric modelling.

Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://hdl.handle.net/10.1080/1350178X.2014.886473 (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:21:y:2014:i:1:p:54-76

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

DOI: 10.1080/1350178X.2014.886473

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 ().

 
Page updated 2025-03-20
Handle: RePEc:taf:jecmet:v:21:y:2014:i:1:p:54-76