Identifying and Testing Recursive vs. Interdependent Links in Simultaneous Equation Models via the SIRE Package

Abstract:

Simultaneous equation models (SEMs) are composed of relations which either represent by Gianmarco Vacca and Maria Grazia Zoia Package Equation Models via the SIRE Interdependent Links in Simultaneous Identifying and Testing Recursive vs. Contributed research article 1

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Authors

Affiliations

Gianmarco Vacca

 

Maria Grazia Zoia

 

Published

Aug. 14, 2019

Received

Oct 8, 2018

DOI

10.32614/RJ-2019-016

Volume

Pages

11/1

149 - 169

Supplementary materials

Supplementary materials are available in addition to this article. It can be downloaded at RJ-2019-016.zip

CRAN packages used

SIRE, igraph, systemfit, Rsolnp

CRAN Task Views implied by cited packages

Optimization, Econometrics, gR, Graphics, Psychometrics, Spatial

Footnotes

    Reuse

    Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

    Citation

    For attribution, please cite this work as

    Vacca & Zoia, "The R Journal: Identifying and Testing Recursive vs. Interdependent Links in Simultaneous Equation Models via the SIRE Package", The R Journal, 2019

    BibTeX citation

    @article{RJ-2019-016,
      author = {Vacca, Gianmarco and Zoia, Maria Grazia},
      title = {The R Journal: Identifying and Testing Recursive vs. Interdependent Links in Simultaneous Equation Models via the SIRE Package},
      journal = {The R Journal},
      year = {2019},
      note = {https://doi.org/10.32614/RJ-2019-016},
      doi = {10.32614/RJ-2019-016},
      volume = {11},
      issue = {1},
      issn = {2073-4859},
      pages = {149-169}
    }