Prof. Fasang erforscht Lebensverläufe von Individuen und Familien über längere Zeiträume hinweg, um zu verstehen, wie unterschiedliche Lebensentscheidungen (Beruf, Familie, Partnerschaft) zu wirtschaftlichen Ungleichheiten führen. Ihr aktueller Fokus liegt auf der Analyse von Arbeitsmarkt- und Familiendynamiken in verschiedenen Wohlfahrtsstaaten sowie auf den Folgen von Politikinterventionen wie Mindestlohnreformen für unterschiedliche Bevölkerungsgruppen, insbesondere Frauen und Mütter. Sie entwickelt dabei innovative statistische Methoden (Sequenzanalyse kombiniert mit Dekompositionsverfahren), um komplexe, zeitliche Muster in Lebensverläufen zu beschreiben und Ungleichheitsursachen zu identifizieren. Ihre Forschung ist relevant für Arbeitsmarkt-, Sozial- und Familienpolitik sowie für die Evaluation von Reformen in Bereichen wie Mindestlohn, Kinderbetreuung und Rentensysteme.
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Prof. Dr. Anette Eva Fasang
HU-FIS-Profil ↗EXC 2055/2: Contestations of the Liberal Script (SCRIPTS)
other
EXC 2055/2: Contestations of the Liberal Script (SCRIPTS)
university
EXC 2055/2: Contestations of the Liberal Script (SCRIPTS)
other
Förderer: DFG Sachbeihilfe Zeitraum: 03/2018 - 09/2021 Projektleitung: Prof. Dr. Anette Eva Fasang
Förderer: Bundesministerium für Arbeit und Soziales Zeitraum: 09/2020 - 11/2021 Projektleitung: Dr. Hannah Zagel, Prof. Dr. Anette Eva Fasang, Dr. Prof. Emanuela Struffolino
Förderer: Einstein Zentrum Zeitraum: 04/2024 - 03/2030 Projektleitung: Prof. Dr. Philipp Lersch, Melinda Mills, Heike Solga, Jan Paul Heisig, Christoph Correll, Stefan Liebig, Paul Gellert, Andreas Edel, Prof. Dr. Anette Eva Fasang, Prof. Dr. Ulrike Kluge
Sociological Methods & Research · DOI
In this article the authors draw attention to the most recent and promising developments of sequence analysis. Taking methodological developments in life course sociology as the starting point, the authors detail the complementary strength in sequence analysis in this field. They argue that recent advantages of sequence analysis were developed in response to criticism of the original work, particularly optimal matching analysis. This debate arose over the past two decades and culminated in the 2000 exchange in Sociological Methods & Research. The debate triggered a "second wave" of sequence techniques that led to new technical implementations of old ideas in sequence analysis. The authors bring these new technical approaches together, demonstrate selected advances with synthetic example data, and show how they conceptually contribute to life course research. This article demonstrates that in less than a decade, the field has made much progress toward fulfilling the prediction that Andrew Abbott made in 2000, that "anybody who believes that pattern search techniques are not going to be basic to social sciences over the next 25 years is going to be very much surprised" (p. 75).
American Journal of Sociology · DOI
This article uses sequence analysis to examine how gender inequality in work-family trajectories unfolds from early adulthood until middle age in two different welfare state contexts. Results based on the National Longitudinal Survey of Youth and the German National Education Panel Study demonstrate that in Germany, all work-family trajectories are highly gender-specific irrespective of social class. In contrast, patterns of work-family interplay across the life course in the United States are, overall, less gendered, but they differ widely by social class. In fact, work-family patterns characterized by high occupational prestige are fairly equally accessible for men and women. However, women are far more likely than men to experience the joint occurrence of single parenthood and unstable low-prestige work careers in the United States. The authors contribute to the literature by bringing in a longitudinal, process-oriented life course perspective and conceptualizing work-family trajectories as interlocked, multidimensional processes.
Social Science Research · DOI
This article marks the occasion of Social Science Research's 50th anniversary by reflecting on the progress of sequence analysis (SA) since its introduction into the social sciences four decades ago, with focuses on the developments of SA thus far in the social sciences and on its potential future directions. The application of SA in the social sciences, especially in life course research, has mushroomed in the last decade and a half. Using a life course analogy, we examined the birth of SA in the social sciences and its childhood (the first wave), its adolescence and young adulthood (the second wave), and its future mature adulthood in the paper. The paper provides a summary of (1) the important SA research and the historical contexts in which SA was developed by Andrew Abbott, (2) a thorough review of the many methodological developments in visualization, complexity measures, dissimilarity measures, group analysis of dissimilarities, cluster analysis of dissimilarities, multidomain/multichannel SA, dyadic/polyadic SA, Markov chain SA, sequence life course analysis, sequence network analysis, SA in other social science research, and software for SA, and (3) reflections on some future directions of SA including how SA can benefit and inform theory-making in the social sciences, the methods currently being developed, and some remaining challenges facing SA for which we do not yet have any solutions. It is our hope that the reader will take up the challenges and help us improve and grow SA into maturity.