Comparing Dynamic Pies: A Strategy for Modeling Compositional Variables in Time and Space Conference Paper uri icon


  • Across a broad range of fields in political science, there are many theoretically interesting dependent variables that can be characterized as compositions. We build on recent work that has developed strategies for modeling variation in such variables over time by extending them to models of time series cross-sectional data. We discuss how researchers can incorporate the influence of contextual variables and spatial relationships into such models. To demonstrate the utility of our proposed strategies, we present a methodological illustration using an analysis of budgetary expenditures in the US states.

published proceedings


altmetric score

  • 1

author list (cited authors)

  • Lipsmeyer, C. S., Philips, A. Q., Rutherford, A., & Whitten, G. D.

citation count

  • 4

complete list of authors

  • Lipsmeyer, Christine S||Philips, Andrew Q||Rutherford, Amanda||Whitten, Guy D

publication date

  • July 2019