Document Type

Article

Publication Date

2017

Publication Title

Political Science Research and Methods

ISSN

2049-8489

DOI

https://doi.org/10.1017/psrm.2017.39

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.

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