IDEAS home Printed from https://ideas.repec.org/p/cem/doctra/597.html
   My bibliography  Save this paper

A Simultaneous-Equation Regression Model of Language Complexity Trade-Offs

Author

Listed:
  • Germán Coloma

Abstract

In this paper we develop a statistical model of language complexity trade-offs using four typological measures (related to phonology, morphology, syntax and lexicon). The data come from the 100-language sample that appears in the World Atlas of Language Structures (WALS), and the trade-offs are calculated using different types of correlation coefficients. All those coefficients are statistically insignificant when they are computed using a standard (product-moment) methodology, but they become significant when we use simultaneous-equation regression methods, especially the ones based on seemingly unrelated regressions (SUR) and three-stage least squares (3SLS). These results are related to ideas suggested in the theoretical literature, especially in the one about language as a complex adaptive system.

Suggested Citation

  • Germán Coloma, 2016. "A Simultaneous-Equation Regression Model of Language Complexity Trade-Offs," CEMA Working Papers: Serie Documentos de Trabajo. 597, Universidad del CEMA.
  • Handle: RePEc:cem:doctra:597
    as

    Download full text from publisher

    File URL: https://www.ucema.edu.ar/publicaciones/download/documentos/597.pdf
    Download Restriction: no
    ---><---

    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:cem:doctra:597. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Valeria Dowding (email available below). General contact details of provider: https://edirc.repec.org/data/cemaaar.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.