Article

 

Comparing Dynamic Pies: A Strategy for Modeling Compositional Variables in Time and Space Pubblico Deposited

https://scholar.colorado.edu/concern/articles/dr26xz169
Abstract
  • 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 relationship into such models. To demonstrate the utility of our proposed strategies, we present a methodological illustration using an analysis of budgetary expenditures in the U.S. states.
Creator
Date Issued
  • 2017-01-01
Academic Affiliation
Journal Title
Ultima modifica
  • 2019-12-05
Resource Type
Dichiarazione dei diritti
DOI
ISSN
  • 2049-8489
Language

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