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Using Sequences to Model Crises

Published online by Cambridge University Press:  10 November 2014

Abstract

The logic of historical explanation obliges one to understand temporality as a moderator of various effects on political outcomes. Temporal problems remain in the empirical analysis of political phenomena, however, especially as it pertains to categorical data and long-term time dependence. Many theories in political science assert that sequencing matters or that political outcomes are path dependent, but they remain untested (or improperly tested) assertions for which sequence analysis may be valuable. This article briefly reviews the disciplinary origins of sequence analysis and applies the method in order to understand bargaining between actors during national crises. Finally, it explores the robustness of a commonly used sequence analysis metric. The ability to demonstrate and separate sequential effects from accumulative effects—made possible through sequence analysis—constitutes a major step in political science toward analyses that are truly time sensitive.

Type
Original Articles
Copyright
Copyright © The European Political Science Association 2014 

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Footnotes

Gretchen Casper is Associate Professor of Political Science and Asian Studies, Pennsylvania State University, 315 Pond Lab, University Park, PA 16802-6202 USA (email: [email protected]). Matthew Wilson is a Ph.D. candidate in Political Science, Pennsylvania State University. He is currently a visiting scholar at Vanderbilt University, Commons Center PMB 0505, 230 Appleton Place, Nashville, TN 37203-5721 USA (email: [email protected]. The authors would like to thank Philippe Blanchard, Phil Schrodt and Emily Helms for their assistance. To view supplementary material for this article, please visit http://dx.doi.org/10.1017/psrm.2014.27.

References

Abbott, Andrew. 1992. ‘From Causes to Events: Notes on Narrative Positivism’. Sociological Methods and Research 20:428455.Google Scholar
Abbott, Andrew. 1995. ‘Sequence Analysis: New Methods for Old Ideas’. Annual Review of Sociology 21:93113.Google Scholar
Abbott, Andrew. 2001. Time Matters: On Theory and Methods. Chicago: University of Chicago Press.Google Scholar
Abbott, Andrew, and Tsay, Angela. 2000. ‘Sequence Analysis and Optimal Matching Methods in Sociology: Review and Prospect’. Sociological Methods Review 29(1):333.Google Scholar
Abbott, Andrew, and DeViney, S.. 1992. ‘The Welfare State as Transnational Event: Evidence from Sequences of Policy Adoption’. Social Science History 16(2):245274.Google Scholar
Adcock, Robert, and Collier, David. 2001. ‘Measurement Validity: A Shared Standard for Qualitative and Quantitative Research’. American Political Science Review 95:529546.Google Scholar
Banks, Arthur S. 1999. ‘Cross-National Time-Series Data Archive’. Binghamton, NY: Banner Software.Google Scholar
Blanchard, Philippe. 2005. ‘Multi-dimensional Biographies. Explaining Disengagement through Sequence Analysis’. 3rd ECPR Conference, Budapest, Hungary, 8–10 September.Google Scholar
Blanchard, Philippe. 2011. ‘Sequence Analysis for Political Science’. Working Paper of the Committee on Concepts and Methods, International Political Science Association.Google Scholar
Blanchard, Philippe. 2013. ‘What is Time for Sequence Analysis?Newsletter of the American Political Science Association Organized Section for Qualitative and Multi-Method Research 11(2):1721.Google Scholar
Blanchard, Philippe, Bühlmann, Felix, and Gauthier, Jacques-Antoine. 2014. Advances in Sequence Analysis: Methods, Theories and Applications. New York: Springer Series, Life Course Research and Social Policies.Google Scholar
Borghetto, Enrico. 2014. ‘Legislative Processes as Sequences: Exploring the Temporal Dimension of Law-making by Means of Sequence Analysis’. International Review of Administrative Sciences 80(3):553576.Google Scholar
Brzinsky-Fay, Christian, and Kohler, Ulrich. 2010. ‘New Developments in Sequence Analysis’. Sociological Methods Research 38(3):359364.Google Scholar
Carothers, Thomas. 2007a. ‘Misunderstanding Gradualism’. Journal of Democracy 18(3):1822.Google Scholar
Carothers, Thomas. 2007b. ‘The ‘Sequencing' Fallacy’. Journal of Democracy 18:1327.Google Scholar
Casper, Gretchen. 2002. ‘Using Crises to Explain Democracy’. Paper presented at the Annual Meeting of the Midwest Political Science Association, Chicago, 25–28 April.Google Scholar
Casper, Gretchen, and Tufis, Claudiu. 2003. ‘Correlation versus Interchangeability: The Limited Robustness of Empirical Findings on Democracy using Highly Correlated Datasets’. Political Analysis 11:196203.Google Scholar
Casper, Gretchen, and Wilson, Matthew. 2012. ‘Bargaining During Crises: Subsequence that Reinforce or Undermine Democracy’. Paper presented at the Annual Meeting of the Midwest Political Science Association, Chicago, 12–15 April.Google Scholar
Collier, David, and Collier, Ruth Berins. 1991. Shaping the Political Arena: Critical Junctures, the Labor Movement, and Regime Dynamics in Latin America. Princeton, NJ: Princeton University Press.Google Scholar
Cramér, Harald. 1946. Mathematical Methods of Statistics. Princeton, NJ: Princeton University Press.Google Scholar
Crewson, Phil. 2012. ‘Applied Statistics Handbook’. Available from http://www.acastat.com/Statbook/contents.htm.Google Scholar
Dahl, Robert A. 1971. Polyarchy: Participation and Opposition. New Haven, CT: Yale University Press.Google Scholar
Davis, David R., Leeds, Brett Ashley, and Moore, Will H.. 1998. ‘Measuring Dissident and State Behavior: the Intranational Political Interactions (IPI) Project’. Workshop on Cross-National Data Collection, Texas A&M University.Google Scholar
D’Orazio, Vito, and Yonamine, Jay. 2012. ‘Kickoff to Conflict: A Sequence Analysis of Intra-State Conflict-Preceding Event Structures’. Working Paper. Available from http://jayyonamine.com/wp-content/uploads/2012/04/Kickoff_to_Conflict_2.5.pdf Google Scholar
Elzinga, Cees H. 2008. Sequence Analysis: Metric Representations of Categorical Time Series, Technical report Amsterdam: Vrije Universiteit.Google Scholar
Fearon, James D. 1992. ‘Threats to Use Force: Costly Signals and Bargaining in International Relations’. PhD thesis. Berkeley: University of California.Google Scholar
Fillieule, Olivier, and Blanchard, Philippe. 2011. ‘Fighting Together: Assessing Continuity and Change in Social Movement Organizations Through the Study of Constitutencies’ Heterogeneity’, Working Paper. Lausanne: University of Lausanne.Google Scholar
Forrest, John, and Abbott, Andrew. 1986. ‘Optimal Matching Methods for Historical Data’. Journal of Interdisciplinary History 16(3):473496.Google Scholar
Forrest, John, and Abbott, Andrew. 1990. ‘The Optimal Matching Method for Anthropological Data: An Introduction and Reliability Analysis’. Journal of Quantitative Anthropology 2:151170.Google Scholar
Freeman, John. 2010. ‘Can Time Series Methods be Used to Detect Path Dependence?’ Paper presented at the NSF-sponsored conference on path dependence, University of Minnesota, 4–5 June.Google Scholar
Fukuyama, Francis. 2011. ‘Is There a Proper Sequence in Democratic Transitions?Current History 110(739):308310.Google Scholar
Gabadinho, Alexis, Ritschard, Gilbert, Studer, Matthias, and Muller, Nicolas S.. 2011. Mining Sequence Data in R with the TraMineR Package: A User’s Guide. Available from http://mephisto.unige.ch/traminer/ Google Scholar
Grzymala-Busse, Anna. 2011. ‘Time Will Tell? Temporality and the Analysis of Causal Mechanisms and Processes’. Comparative Political Studies 44(9):12671297.Google Scholar
Halpin, Brendan. 2010. ‘Optimal Matching Analysis and Life-Course Data: The Importance of Duration’. Sociological Methods & Research 38(3):365388.Google Scholar
Hobson, Christopher. 2012. ‘Liberal Democracy and Beyond: Extending the Sequencing Debate’. International Political Science Review 33(4):441454.Google Scholar
Hollister, Matissa N. 2009. ‘Is Optimal Matching Sub-Optimal?’ Sociological Methods and Research 38(2):235264.Google Scholar
Jackson, John E., and Kollman, Ken. 2012. ‘Modeling, Measuring, and Distinguishing Path Dependence, Outcome Dependence, and Outcome Independence’. Political Analysis 20(2):157174.Google Scholar
Kreuzer, Marcus. 2013. ‘Introduction: Complexities of Historical Time’. Newsletter of the American Political Science Association Organized Section for Qualitative and Multi-Method Research 11(2):23.Google Scholar
Lemercier, C. 2005. ‘Les carrieres des membres des institutions consulaires parisiennes au XIXe siecle [The Careers of Economic Elites in Paris in the 19th Century]’. Histoire et Mesure 20(1/2):5995.Google Scholar
Lin, Tse-min, and Cohen, Matthew. 2010. ‘Spatial Regression, Increasing Returns, and Regionalism’. Paper presented at the NSF-sponsored conference on path depdendence, University of Minnesota, 4–5 June.Google Scholar
Mahoney, James. 2000. ‘Path Dependence in Historical Sociology’. Theory and Society 29:507548.Google Scholar
Mansfield, Edward D., and Snyder, Jack L.. 2007. ‘The Sequencing “Fallacy”’. Journal of Democracy 18(3):510.Google Scholar
Marshall, Monty G., and Jaggers, Keith. 2003. ‘Polity IV Project: Political Regime Characteristics and Transitions, 1800–2003’. University of Maryland: CIDCM.Google Scholar
Moore, Barrington. 1966. The Social Origins of Dictatorship and Democracy: Lord and Peasant in the Making of the Modern World. Boston, MA: Beacon Press.Google Scholar
North, Douglass C. 1981. Structure and Change in Economic History. New York: Norton.Google Scholar
Page, Scott E. 2006. ‘Path Dependence’. Quarterly Journal of Political Science 1:87115.Google Scholar
Pierson, Paul. 2000. ‘Increasing Returns, Path Dependence, and the Study of Politics’. American Political Science Review 94:251267.Google Scholar
Pierson, Paul. 2004. Politics in Time: History, Institutions, and Social Analysis. Princeton, NJ: Princeton University Press.Google Scholar
Ratkovic, Marc T., and Eng, Kevin H.. 2009. ‘Finding Jumps in Otherwise Smooth Curves: Identifying Critical Events in Political Processes’. Political Analysis 21(3):5777.Google Scholar
Schrodt, Philip A., and Gerner, Deborah J.. 2000. ‘Cluster-Based Early Warning Indicators for Political Change in the Contemporary Levant’. American Political Science Review 94:803817.Google Scholar
Slater, Dan, and Simmons, Erica. 2010. ‘Informative Regress: Critical Antecedents in Comparative Politics’. Comparative Political Studies 43(7):886917.Google Scholar
Snyder, Glenn H., and Diesing, Paul. 1977. Conflict among Nations: Bargaining, Decision Making, and System Structure in International Crises. Princeton, NJ: Princeton University Press.Google Scholar
Stoll, Heather. 2013. Changing Societies, Changing Party Systems. New York: Cambridge University Press.Google Scholar
Stovel, Katherine. 2001. ‘Local Sequential Patterns: The Structure of Lynching in the Deep South, 1882-1930’. Social Forces 79:843880.Google Scholar
Thelen, Kathleen. 1999. ‘Historical Institutionalism in Comparative Politics’. Annual Review of Political Science 2:369404.Google Scholar
Thelen, Kathleen. 2000. ‘Timing and temporality in the analysis of institutional evolution and change’. Studies in American Political Development 14:101108.Google Scholar
Walker, Robert W. 2010. ‘The Trouble with Mathematical Analogies: Path Dependence, Irreversible Branching Processes, and the Inability of Knowing the Way in Which History Matters’. Paper presented at the NSF-sponsored conference on path dependence, University of Minnesota, 4–5 June.Google Scholar
Ward, Joe H. 1963. ‘Hierarchical Grouping to Optimize an Objective Function’. Journal of the American Statistical Association 58:236244.Google Scholar
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