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


  • Laura Barbieri


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.

Suggested Citation

  • Laura Barbieri, 2013. "Causality and interdependence analysis in linear econometric models with an application to fertility," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(8), pages 1701-1716, August.
  • Handle: RePEc:taf:japsta:v:40:y:2013:i:8:p:1701-1716
    DOI: 10.1080/02664763.2013.793660

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    References listed on IDEAS

    1. Jan Priebe, 2010. "Child Costs and the Causal Effect of Fertility on Female Labor Supply: An investigation for Indonesia 1993-2008," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 45, Courant Research Centre PEG.
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