Journal of Economic Methodology 21 (1):54-76 (2014)

Authors
Alessio Moneta
Scuola Superiore di Studi Universitari e di Perfezionamento Sant'Anna
Federica Russo
University of Amsterdam
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.
Keywords econometrics  statistical model  causal model  evidence pluralism  causality  role of evidence
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DOI 10.1080/1350178X.2014.886473
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References found in this work BETA

Thinking About Mechanisms.Peter Machamer, Lindley Darden & Carl F. Craver - 2000 - Philosophy of Science 67 (1):1-25.
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Cambridge University Press.
The Direction of Time.Hans Reichenbach - 1956 - Dover Publications.
Explanation: A Mechanist Alternative.William Bechtel - 2005 - Studies in History and Philosophy of Biol and Biomed Sci 36 (2):421--441.

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Citations of this work BETA

What is Mechanistic Evidence, and Why Do We Need It for Evidence-Based Policy?Caterina Marchionni & Samuli Reijula - 2019 - Studies in History and Philosophy of Science Part A 73:54-63.
Response to Henschen: Causal Pluralism in Macroeconomics.Mariusz Maziarz & Robert Mróz - 2019 - Journal of Economic Methodology 27 (2):164-178.
What Invariance Is and How to Test for It.Federica Russo - 2014 - International Studies in the Philosophy of Science 28 (2):157-183.

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