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A command to estimate and interpret models of dynamic compositional dependent variables: New features for dynsimpie
The Stata Journal: Promoting communications on statistics and Stata ( IF 3.2 ) Pub Date : 2020-09-22 , DOI: 10.1177/1536867x20953570
Yoo Sun Jung 1 , Flávio D. S. Souza 2 , Andrew Q. Philips 3 , Amanda Rutherford 4 , Guy D. Whitten 5
Affiliation  

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 adofiles: 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.



中文翻译:

估计和解释动态成分因变量模型的命令:dynsimpie的新功能

飞利浦(Philips),卢瑟福(Rutherford)和惠特顿(Whitten)(2016年,Stata Journal 16:662-677)引入了dynsimpie,该命令用于检查动态成分相关变量。在本文中,我们对dynsimpie和三个新的adofile进行了更新:cfbploteffectsplotdynsimpiecoef。这些更新极大地扩展了可以估计的模型范围以及现在可以呈现模型结果的方式。dynsimpie命令已更新,因此用户可以使用后估计命令获得预测图和基线变化图。使用新命令dynsimpiecoef,也可以获得各种类型的系数图。我们使用有关英国政党支持的每月数据来说明这些改进。

更新日期:2020-09-22
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