Causal models and evidential pluralism in econometrics

Journal of Economic Methodology 21 (1):54-76 (2014)
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
Causality: Models, Reasoning, and Inference.Judea Pearl - 2000 - Cambridge University Press.
Logic of Statistical Inference.Ian Hacking - 2016 - Cambridge University Press.
Thinking About Mechanisms.Peter K. Machamer, Lindley Darden & Carl F. Craver - 2000 - Philosophy of Science 67 (1):1-25.
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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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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