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Causality and Exogeneity in Econometric Models

  • Maria Carla Galavotti
  • Guido Gambetta
Chapter
Part of the Boston Studies in the Philosophy of Science book series (BSPS, volume 122)

Abstract

The following pages are intended to show how statistics enters into a relatively young discipline as econometrics. The role of statistics in the classical inference procedures, namely estimation and hypotheses testing, will not be dealt with. This should not be taken to suggest that within econometrics such procedures should not be the object of attention. On the contrary, several authors have stressed the need for extensive use of statistical tests as tools for mis-specification analysis and diagnostic checking. Here we will be pursuing a different task, namely to point out that statistics also plays an explicit role in the earlier phase of model specification. In particular, we want to show how the form of the model — and hence what kind of inferences can be drawn on its basis — depends on the crucial concepts of non-causality and exogeneity defined in terms of conditional distributions of observable variables.

Keywords

Econometric Model Econometric Method Receive View Theoretical Variable Nobel Lecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1990

Authors and Affiliations

  • Maria Carla Galavotti
  • Guido Gambetta

There are no affiliations available

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