IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v40y2013i8p1701-1716.html
   My bibliography  Save this article

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

Author

Listed:
  • Laura Barbieri

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.

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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2013.793660
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:japsta:v:40:y:2013:i:8:p:1701-1716. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.