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Quantifying Political Relationships

Published online by Cambridge University Press:  23 August 2018

SIMON WESCHLE
SIMON WESCHLE*
Affiliation:
Syracuse University
*
Simon Weschle is an Assistant Professor, Department of Political Science, Maxwell School of Citizenship and Public Affairs, Syracuse University, 100 Eggers Hall, Syracuse, NY 13244 ([email protected]).
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Abstract

In this article, I introduce a method that uses large-scale event data and latent factor network models to provide a new comparative measure of cooperation and conflict in public relationships among politicians, nonpartisan political actors, and societal actors. The approach has a number of advantages over existing techniques: It captures public relationships in a multitude of venues on a continuous basis, incorporates both partisan and nonpartisan actors, allows quantifying the relationship between any pair of actors, reflects that communication is not unidirectional but rather a back and forth, and can be applied to a large number of countries over time. I apply the method to 13 Western European countries from 2001 to 2014 and demonstrate that party relationships are determined by coalition status as well as policy differences. The measure is publicly available and can be incorporated into standard research designs.

Type
Letter
Information
American Political Science Review , Volume 112 , Issue 4 , November 2018 , pp. 1090 - 1095
Copyright
Copyright © American Political Science Association 2018 

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Footnotes

For helpful comments and advice, I thank the APSR editor Kenneth Benoit, four anonymous reviewers, James Adams, Ben Barber, Pablo Fernández-Vázquez, Sebastián Lavezzolo, Michael Ward, and Christopher Wlezien. Replication materials are available at the American Political Science Review Dataverse: https://doi.org/10.7910/DVN/AOTVAU. The Quantified Political Relationships data are available at www.simonweschle.com/data.

References

REFERENCES

Boschee, Elizabeth, Lautenschlager, Jennifer, O’Brien, Sean, Shellman, Steve, Starz, James, and Ward, Michael D.. 2015. “ICEWS Coded Event Data.” https://doi.org/10.7910/DVN/28075.Google Scholar
Boschee, Elizabeth, Natarjan, Premkumar, and Weischedel, Ralph. 2013. “Automatic Extraction of Events from Open Source Text for Predictive Forecasting.” In Handbook of Computational Approaches to Counterterrorism, ed. Subrahmanian, V. S.. New York, NY: Springer.Google Scholar
Eggers, Andrew C., and Spirling, Arthur. 2014. “Ministerial Responsiveness in Westminster Systems: Institutional Choices and House of Commons Debate, 1832–1915.” American Journal of Political Science 58 (4): 873–87.Google Scholar
Fenno, Richard F. Jr. 1978. Home Style: House Members in Their Districts. Boston, MA: Little, Brown.Google Scholar
Gerner, Deborah J., Schrodt, Philip A., and Yilmaz, Omur. 2009. “Conflict and Mediation Event Observations (CAMEO): An Event Data Framework for a Post-Cold War World.” In International Conflict Mediation: New Approaches and Findings, eds Bercovitcch, Jacob and Gartner, Scott Sigmund. New York, NY: Routledge.Google Scholar
Grimmer, Justin. 2013. Representational Style in Congress. What Legislators Say and Why It Matters. Cambridge: Cambridge University Press.Google Scholar
Grimmer, Justin, Westwood, Sean J., and Messing, Solomon. 2015. The Impression of Influence: Legislator Communication, Representation, and Democratic Accountability. Princeton, NJ: Princeton University Press.Google Scholar
Herzog, Alexander, and Benoit, Kenneth. 2015. “The Most Unkindest Cuts: Speaker Selection and Expressed Government Dissent during Economic Crisis.” Journal of Politics 77 (4): 1157–75.Google Scholar
Hoff, Peter D. 2005. “Bilinear Mixed Effects Models for Dyadic Data.” Journal of the American Statistical Association 100 (469): 286–95.Google Scholar
Hoff, Peter D. 2015. “Dyadic Data Analysis with amen.” http://arxiv.org/abs/1506.08237.Google Scholar
Hoff, Peter D., and Ward, Michael D.. 2004. “Modeling Dependencies in International Relations Networks.” Political Analysis 12 (2): 160–75.Google Scholar
King, Gary, and Lowe, Will. 2003. “An Automated Information Extraction Tool for International Conflict Data with Performance as Good as Human Coders: A Rare Events Evaluation Design.” International Organization 57: 617–42.Google Scholar
Lauderdale, Benjamin E., and Herzog, Alexander. 2016. “Measuring Political Positions from Legislative Speech.” Political Analysis 24 (3): 374–94.Google Scholar
Mansbridge, Jane. 2003. “Rethinking Representation.” American Political Science Review 97 (4): 515–28.Google Scholar
Martin, Lanny W., and Vanberg, Georg. 2008. “Coalition Government and Political Communication.” Political Research Quarterly 61 (3): 502–16.Google Scholar
O’Brien, Sean P. 2013. “A Multi-Method Approach for Near Real Time Conflict and Crisis Early Warning.” In Handbook of Computational Approaches to Counterterrorism, ed. Subrahmanian, V. S.. New York, NY: Springer.Google Scholar
Proksch, Sven-Oliver, and Slapin, Jonathan B.. 2015. The Politics of Institutional Debate. Cambridge: Cambridge University Press.Google Scholar
Sagarzazu, Inaki, and Klüver, Heike. 2017. “Coalition Governments and Party Competition: Political Communication Strategies of Coalition Parties.” Political Science Research and Methods 5 (2): 333–49.Google Scholar
Strom, Kaare. 2008. “Communication and the Life Cycle of Parliamentary Democracy.” Political Research Quarterly 61 (3): 537– 42.Google Scholar
Weschle, Simon. 2017. “The Impact of Economic Crises on Political Representation in Public Communication: Evidence from the Eurozone.” British Journal of Political Science. https://doi.org/10.1017/S0007123417000023.Google Scholar
Supplementary material: Link

Weschle Dataset

Dataset

https://doi.org/10.7910/DVN/AOTVAU
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Supplementary material: PDF

Weschle supplementary material

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