dynsimpie: A command to examine dynamic compositional dependent variables
Andrew Q. Philips
Department of Political Science
Texas A&M University
College Station, TX
[email protected]
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Amanda Rutherford
School of Public and Environmental Affairs
Indiana University
Bloomington, IN
[email protected]
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Guy D. Whitten
Department of Political Science
Texas A&M University
College Station, TX
[email protected]
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Abstract. In this article, we adapt the modeling strategy proposed by Philips,
Rutherford, and Whitten (2016, American Journal of Political Science 60:
268–283) and create a user-friendly Stata command, dynsimpie. This
command requires the installation of the clarify package of Tomz,
Wittenberg, and King (2003, Journal of Statistical Software 8(1):
1–30) and uses the commands in the clarify package to produce
estimates from models of compositional dependent variables over time. Users can
also examine how counterfactual shocks play through the system with graphs that
are easy to interpret. We illustrate this with a model of voter support for the
three dominant political parties in the UK.
View all articles by these authors:
Andrew Q. Philips, Amanda Rutherford, Guy D. Whitten
View all articles with these keywords:
dynsimpie, dynamic composition, counterfactual shocks
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