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Causal Arrows in Econometric Models

Russo, Federica (2009) Causal Arrows in Econometric Models. In: [2008]: Visiting Fellows, Center for Philosophy of Science. (2008-2009, Pittsburgh).

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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)
    Keywords: causation, economics, causal modelling, mechanism
    Subjects: Specific Sciences > Economics
    Conferences and Volumes: [2008]: Visiting Fellows, Center for Philosophy of Science. (2008-2009, Pittsburgh)
    Depositing User: Federica Russo
    Date Deposited: 27 Apr 2009
    Last Modified: 07 Oct 2010 11:17
    Item ID: 4591
    URI: http://philsci-archive.pitt.edu/id/eprint/4591

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