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Sequence Analysis and Optimal Matching Methods in Sociology

Author

Listed:
  • ANDREW ABBOTT

    (University of Chicago)

  • ANGELA TSAY

    (University of Chicago)

Abstract

The authors review all known studies applying optimal matching or alignment (OM) techniques to social science sequence data. Issues of data, coding, temporality, cost setting/algorithm design, and analytic strategies are considered, and substantive findings are reviewed. The authors conclude that OM techniques have produced interesting results in a wide variety of areas, the most promising being studies of careers and of sequentially organized cultural artifacts.

Suggested Citation

  • Andrew Abbott & Angela Tsay, 2000. "Sequence Analysis and Optimal Matching Methods in Sociology," Sociological Methods & Research, , vol. 29(1), pages 3-33, August.
    • Handle: RePEc:sae:somere:v:29:y:2000:i:1:p:3-33
    DOI: 10.1177/0049124100029001001
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    References listed on IDEAS

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    1. Faynzilberg, Peter S. & Kumar, Praveen, 1997. "Optimal Contracting of Separable Production Technologies," Games and Economic Behavior, Elsevier, vol. 21(1-2), pages 15-39, October.
    2. Andrew Abbott, 1990. "A Primer on Sequence Methods," Organization Science, INFORMS, vol. 1(4), pages 375-392, November.
    3. Rajiv Sabherwal & Daniel Robey, 1995. "Reconciling Variance and Process Strategies for Studying Information System Development," Information Systems Research, INFORMS, vol. 6(4), pages 303-327, December.
    4. Rajiv Sabherwal & Daniel Robey, 1993. "An Empirical Taxonomy of Implementation Processes Based on Sequences of Events in Information System Development," Organization Science, INFORMS, vol. 4(4), pages 548-576, November.
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    Cited by:

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    3. Frank Boons & Wouter Spekkink & Wenting Jiao, 2014. "A Process Perspective on Industrial Symbiosis," Journal of Industrial Ecology, Yale University, vol. 18(3), pages 341-355, May.
    4. Mark Hanly & Paul Clarke & Fiona Steele, 2016. "Sequence analysis of call record data: exploring the role of different cost settings," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 793-808, June.
    5. Raffaella Piccarreta & Francesco C. Billari, 2007. "Clustering work and family trajectories by using a divisive algorithm," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 1061-1078, October.
    6. Maria Sironi & Nicola Barban & Roberto Impiacciatore, 2013. "The Role of Parental Social Class in the Transition to Adulthood: A Sequence Analysis Approach in Italy and the United States," Working Papers 059, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    7. Erofili Grapsa & Dorrit Posel, 2016. "Sequencing the real time of the elderly: Evidence from South Africa," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(25), pages 711-744.
    8. Crawford, F. & Watling, D.P. & Connors, R.D., 2018. "Identifying road user classes based on repeated trip behaviour using Bluetooth data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 55-74.
    9. Rui Mu, 2018. "Role of Law, Position of Actor and Linkage of Policy in China’s National Environmental Governance System, 1972–2016," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    10. Kleinepier, Tom & van Ham, Maarten, 2017. "Ethnic Differences in Duration and Timing of Exposure to Neighbourhood Disadvantage during Childhood," IZA Discussion Papers 10944, Institute of Labor Economics (IZA).
    11. Elisa Barbiano di Belgiojoso & Laura Terzera, 2018. "Family reunification – who, when, and how? Family trajectories among migrants in Italy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(28), pages 737-772.
    12. Kleinepier, Tom & van Ham, Maarten, 2018. "The Temporal Dynamics of Neighborhood Disadvantage in Childhood and Subsequent Problem Behavior in Adolescence," IZA Discussion Papers 11397, Institute of Labor Economics (IZA).
    13. Rui Mu, 2018. "Bounded Rationality in the Developmental Trajectory of Environmental Target Policy in China, 1972–2016," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    14. Barbara Elisabeth Fulda, 2016. "The diversity in longitudinal partnership trajectories during the transition to adulthood: How is it related to individual characteristics and regional living conditions?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(37), pages 1101-1134.
    15. Rui Mu & Wouter Spekkink, 2018. "A Running Start or a Clean Slate? How a History of Cooperation Affects the Ability of Cities to Cooperate on Environmental Governance," Sustainability, MDPI, vol. 10(6), pages 1-22, June.
    16. Martin O’Flaherty & Janeen Baxter & Michele Haynes & Gavin Turrell, 2016. "The Family Life Course and Health: Partnership, Fertility Histories, and Later-Life Physical Health Trajectories in Australia," Demography, Springer;Population Association of America (PAA), vol. 53(3), pages 777-804, June.
    17. Brzinsky-Fay, Christian, 2006. "Lost in transition: labour market entry sequences of school leavers in Europe," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2006-111, WZB Berlin Social Science Center.
    18. Beyersdorf, Joanna & Rauch, Angela, 2012. "Junge Rehabilitanden zwischen Schule und Erwerbsleben : Maßnahmen der beruflichen Ersteingliederung anhand empirischer Befunde aus der IAB-Panelbefragung der Rehabilitanden 2007 und 2008," IAB-Forschungsbericht 201214, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    19. Michael Koch & Bernard Forgues & Vanessa Monties, 2017. "The Way to the Top: Career Patterns of Fortune 100 CEOS," Post-Print hal-02051118, HAL.
    20. Laurent Lesnard, 2005. "The Effects of the Family Work Day on Family Time," Working Papers 2005-25, Center for Research in Economics and Statistics.
    21. Paola Di Giulio & Roberto Impicciatore & Maria Sironi, 2019. "The changing pattern of cohabitation: A sequence analysis approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(42), pages 1211-1248.
    22. Udo Staber, 2008. "Network Evolution in Cultural Industries," Industry and Innovation, Taylor & Francis Journals, vol. 15(5), pages 569-578.
    23. Okka Zimmermann & Nicole Hameister, 2019. "Stable cohabitational unions increase quality of life: Retrospective analysis of partnership histories also reveals gender differences," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(24), pages 657-692.
    24. Mike Smet & Barbara Janssens, 2015. "Educational Pathways of students who enrolled in a subject-specific teacher training in Flanders: An Optimal Matching Approach," EcoMod2015 8577, EcoMod.

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