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

Published online by Cambridge University Press:  27 November 2017

Christine S. Lipsmeyer ,
Andrew Q. Philips ,
Amanda Rutherford  and
Guy D. Whitten
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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 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.

Type
Original Articles
Information
Political Science Research and Methods , Volume 7 , Issue 3 , July 2019 , pp. 523 - 540
Copyright
© The European Political Science Association 2017 

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Footnotes

*

Christine S. Lipsmeyer is an Associate Professor in the Department of Political Science, Texas A&M University, 2010 Allen Building, 4348 TAMU, College Station, TX 77843-4348 ([email protected]). Andrew Q. Philips is an Assistant Professor in the Department of Political Science, University of Colorado Boulder, UCB 333, Boulder, CO 80309-0333 ([email protected]). Amanda Rutherford is an Assistant Professor in the School of Public and Environmental Affairs, Indiana University, 1315 E 10th Street, Bloomington, IN 47405-1106 ([email protected]). Guy D. Whitten is a Professor in the Department of Political Science, Texas A&M University, 2010 Allen Building, 4348 TAMU, College Station, TX 77843-4348 ([email protected]). Earlier versions of this paper were presented at the 2015 conference on “Innovations in Comparative Political Methodology” at Texas A&M University, the 2015 MPSA meetings, and at the University of São Paulo. The authors thank these audiences for their helpful comments. To view supplementary material for this article, please visit https://doi.org/10.1017/psrm.2017.39

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