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A command to estimate and interpret models of dynamic compositional dependent variables: New features for dynsimpie

Author

Listed:
  • Yoo Sun Jung

    (University of California–San Diego)

  • Flávio D. S. Souza

    (Texas A&M University)

  • Andrew Q. Philips

    (University of Colorado Boulder)

  • Amanda Rutherford

    (Indiana University)

  • Guy D. Whitten

    (Texas A&M University)

Abstract

Philips, Rutherford, and Whitten (2016, Stata Journal 16: 662–677) introduced dynsimpie, a command to examine dynamic compositional dependent variables. In this article, we present an update to dynsimpie and three new ado- files: cfbplot, effectsplot, and dynsimpiecoef. These updates greatly enhance the range of models that can be estimated and the ways in which model results can now be presented. The command dynsimpie has been updated so that users can obtain both prediction plots and change-from-baseline plots using postestimation commands. With the new command dynsimpiecoef, various types of coefficient plots can also be obtained. We illustrate these improvements using monthly data on support for political parties in the United Kingdom.

Suggested Citation

  • Yoo Sun Jung & Flávio D. S. Souza & Andrew Q. Philips & Amanda Rutherford & Guy D. Whitten, 2020. "A command to estimate and interpret models of dynamic compositional dependent variables: New features for dynsimpie," Stata Journal, StataCorp LP, vol. 20(3), pages 584-603, September.
    • Handle: RePEc:tsj:stataj:v:20:y:2020:i:3:p:584-603
    DOI: 10.1177/1536867X20953570
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