Home  >>  Archives  >>  Volume 16 Number 3  >>  st0448

The Stata Journal
Volume 16 Number 3: pp. 662-677



Subscribe to the Stata Journal
cover

dynsimpie: A command to examine dynamic compositional dependent variables

Andrew Q. Philips
Department of Political Science
Texas A&M University
College Station, TX
aphilips@pols.tamu.edu
Amanda Rutherford
School of Public and Environmental Affairs
Indiana University
Bloomington, IN
aruther@indiana.edu
Guy D. Whitten
Department of Political Science
Texas A&M University
College Station, TX
g-whitten@pols.tamu.edu
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.
Buy article (PDF): $14.00 View cart
Buy entire issue (PDF): $28.00

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

Download citation: BibTeX  RIS

Download citation and abstract: BibTeX  RIS