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Causality and interdependence analysis in linear econometric models with an application to fertility

Laura Barbieri ()

Journal of Applied Statistics, 2013, vol. 40, issue 8, 1701-1716

Abstract: This paper is an applied analysis of the causal structure of linear multi-equational econometric models. Its aim is to identify the kind of relationships linking the endogenous variables of the model, distinguishing between causal links and feedback loops. The investigation is first carried out within a deterministic framework and then moves on to show how the results may change inside a more realistic stochastic context. The causal analysis is then specifically applied to a linear simultaneous equation model explaining fertility rates. The analysis is carried out by means of a specific RATS programming code designed to show the specific nature of the relationships within the model.

Date: 2013
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DOI: 10.1080/02664763.2013.793660

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