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Causal Arrows in Econometric Models

Russo, Federica (2009) Causal Arrows in Econometric Models. In: UNSPECIFIED.

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Abstract

Econometrics applies statistical methods to study economic phenomena. Roughly, by means of equations, econometricians typically account for the response variable in terms of a number of explanatory variables. The question arises under what conditions econometric models can be given a causal interpretation. By drawing the distinction between associational models and causal models, the paper argues that a proper use of background knowledge, three distinct types of assumptions (statistical, extra-statistical, and causal), and the hypothetico-deductive methodology provide sufficient conditions for a causal interpretation of econometric models.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
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Russo, Federica
Keywords: causation, economics, causal modelling, mechanism
Subjects: Specific Sciences > Economics
Depositing User: Dr Federica Russo
Date Deposited: 27 Apr 2009
Last Modified: 07 Oct 2010 15:17
Item ID: 4591
Subjects: Specific Sciences > Economics
Date: 2009
URI: https://philsci-archive.pitt.edu/id/eprint/4591

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