Dr. Sabine Zinn


Büro       WP3/01.19B
Telefon+49 (0)951/863-3506
Fax+49 (0)951/863-3411
E-Mailsabine.zinn(at)lifbi.de

Lehrveranstaltungen im Wintersemester 2018/19:

  • Vorlesung: Analyse von Pandeldaten

Zuständigkeiten / Projekte:

  • Leibniz-Institut für Bildungsverläufe (LIfBi): Arbeitsbereichsleitung Methoden der Survey-Statistik

Werdegang

    • Arbeitsbereichsleitung Methoden der Survey-Statistik, Leibniz-Institut für Bildungsverläufe e.V.; seit Juli 2016
    • Wissenschaftliche Mitarbeiterin im Bereich Methoden, Nationales Bildungspanel/Leibniz-Institut für Bildungsverläufe e.V.; seit Juni 2011
    • Wissenschaftliche Mitarbeiterin im Bereich Internationale Migration, Max Planck Institute für Demografische Forschung, Rostock,  2013-2016
    • Promotion im Bereich Informatik (Modellierung und Simulation); Titel der Doktorarbeit: "A Continuous-Time Microsimulation and First Steps Towards a Multi-Level Approach in Demography";
    • Doktorandin in der Abteilung für statistische Demografie - Max Planck Institut für Demografische Forschung, Rostock, Deutschland, 2007-2011
    • Diplom in Wirtschaftmathematik, Ausrichtung: Wahrscheinlichkeitstheorie, Optimierung, Operations Research; Fakultät für Mathematik und Informatik, Friedrich-Schiller-Universität, Jena, Deutschland; 2000-2006

    Veröffentlichungen

    2018

    • Zinn, S., & Gnambs, T. (2018). Modeling competence development in the presence of selection bias. Behavior research methods, 1-16.

    2017

    • Willekens, F., Zinn, S. and Leuchter, M. (accepted): Emigration rates from sample surveys: An application to Senegal. Demography. (peer reviewed)
    • Klabunde, A., S. Zinn, F. Willekens and M. Leuchter (2017, Forthcoming). Multistate modeling extended by behavioral rules - an example of migration. Population Studies. (peer reviewed)
    • von Maurice, J., Zinn, S. and Wolter, I. (2017). Large-Scale Assessments: Potentials and Challenges in Longitudinal Designs. Psychological Test and Assessment Modeling, Volume 59, 2017 (1). (peer reviewed)
    • Zinn, S., Steinhauer, H.W. and Aßmann, C. (2017). Samples, Weights, and Nonresponse: the Student Sample of the National Educational Panel Study (Wave 1 to 8) (NEPS Survey Paper No. 18). Bamberg, Germany: Leibniz Institute for Educational Trajectories, National Educational Panel Study.

    2016

    • Hammon, A., Zinn, S., Aßmann, C. and Würbach, A. (2016). Samples, Weights, and Nonresponse: the Adult Cohort of the National Educational Panel Study (Wave 2 to 6) (NEPS Survey Paper No. 7). Bamberg: Leibniz Institute for Educational Trajectories, National Educational Panel Study
    • Würbach, A.; Zinn, S. and Aßmann, C. (2016). Samples, Weights, and Nonresponse: the Early Childhood Cohort of the National Educational Panel Study (Wave 1 to 3) (NEPS Survey Paper No. 8). Bamberg: Leibniz Institute for Educational Trajectories, National Educational Panel Study.
    • Steinhauer, H. W. and Zinn, S. (2016). NEPS Technical Report for Weighting: Weighting the Sample of Starting Cohort 3 of the National Educational Panel Study (Waves 1 to 3), (NEPS Working Paper No. 63). Bamberg: Leibniz Institute for Educational Trajectories, National Educational Panel Study.
    • Steinhauer, H. W. and Zinn, S. (2016). NEPS Technical Report for Weighting: Weighting the sample of Starting Cohort 4 of the National Educational Panel Study (Wave 1 to 6),NEPS Survey Paper No. 2, Bamberg: Leibniz Institute for Educational Trajectories, National Educational Panel Study.
    • Zinn, S. (2016). Simulating Synthetic Life Courses of Individuals and Couples, and Mate Matching. Book Chapter In Volume on Agent based Modelling in Population Studies. Springer Series on Demographic Methods and Population Analysis. Springer. (peer reviewed)
    • Zinn, S. (2016). Variance Estimation With Balanced Repeated Replication: An Application for the Fifth- and Ninth-Grader Cohort Samples of the National Educational Panel Study. In H.-P. Blossfeld, J. von Maurice, J. Skopek, and Bayer, M. (Eds.), Methological Issues of Longitudinal Surveys (pp.). Wiesbaden: Springer. (peer reviewed)
    • Steinhauer, H. W., Zinn, S. and Aßmann, C. (2016). Weighting Panel Cohorts in Institutional Contexts. In H.P. Blossfeld, J. von Maurice, J. Skopek, and Bayer, M. (Eds.), Methological Issues of Longitudinal Surveys (pp.). Wiesbaden: Springer. (peer reviewed)
    • Steinhauer, H. W., Zinn, S., Gaasch, C. and Goßmann, S. (2016). NEPS Technical Report for Weighting: Weighting the sample of Kindergarten children and Grade 1 students of the National Educational Panel Study (Wave 1 to 3), NEPS Working Paper No. 66, Bamberg: Leibniz Institute for Educational Trajectories, National Educational Panel Study.

    2015

    • Zinn, S. and A. Würbach (2015): A Statistical Approach to Address the Problem of Heaping in Self-Reported Income Data, Journal of Applied Statistics. doi: 10.1080/02664763.2015.1077372. dx.doi.org/10.1080/02664763.2015.1077372 (peer reviewed)
    • Steinhauer, H. W., Aßmann, C., Zinn, S., Goßmann, S. and S. Rässler (2015). Sampling and Weighting Cohort Samples in Institutional Contexts. AStA Wirtschafts- und Sozialstatistisches Archiv. doi: 10.1007/s11943-015-0162-0 (peer reviewed)
    • Olczyk, M.; Seuring, J.; Will, G. and Zinn, S. (2015). Migranten und ihre Nachkommen im deutschen Bildungssystem: ein aktueller Überblick. Sammelband Ethnische Ungleichheiten im Bildungsverlauf: Mechanismen, Befunde, Debatten. Springer.
    • Würbach, A. and Zinn, S. (2015). Estimation of a general heaping model via random‐walk Metropolis algorithms , Proceedings of the 30th International Workshop on Statistical Modeling, Vol. 1, Hrsg. Friedl, Herwig & Wagner, Helga.
    • Klabunde, A.; Willekens, F.; Zinn, S.; Leuchter, M. (2015). An agent-based decision model of migration, embedded in the life course - Model description in ODD+D format. MPIDR Working Paper WP-2015-002.
    • Steinhauer, H. W. and Zinn, S. (2015). NEPS Technical Report for Weighting: Weighting the Sample of Starting Cohort 3 of the National Educational Panel Study (Waves 1 to 3) , (NEPS Working Paper No. 63). Bamberg: Leibniz Institute for Educational Trajectories, National Educational Panel Study.
    • Aßmann, C.; Zinn, S.; Würbach, A. (2015): Sampling and Weighting the Sample of the Early Childhood Cohort of the National Educational Panel Study (Waves 1 and 2), NEPS Technical Report on SUF SC1 Version 2‐0‐0, Bamberg: Leibniz Institute for Educational Trajectories (LIfBi).
    • Zinn, S.; Aßmann, C. and Würbach, A. (2015). Sampling and Weighting the Sample of the Adult Cohort of the National Educational Panel Study (Wave 2 to 5) , Technical Report on SUF SC6 Version 5.0.0, Bamberg: Leibniz Institute for Educational Trajectories (LIfBi), National Educational Panel Study (NEPS).

    2014

    • S. Zinn (2014). The MicSim Package of R: An Entry-Level Toolkit for Continuous-Time Microsimulation. In International Journal of Microsimulation 7(3), 3-32. (peer reviewed)
    • Steiniger, A., Uhrmacher, A.M., Zinn, S., Gampe, J. and Willekens, F. (2014). The Role of Languages for Modeling and Simulating Continuous-Time Multi-Level Models in Demography. In A. Tolk, S.D. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley and J. A. Miller (Eds.), Proceedings of the 2014 Winter Simulation Conference.  (peer reviewed)
    • Zinn, S. and Würbach, A. (2014). A Statistical Approach to Account for Heaping Patterns: An Application to Self-Reported Income Data. NEPS Working Paper No. 40. Bamberg: Leibniz Institute for Educational Trajectories.

    2013

    • Zinn, S., J. Himmelspach, A.M. Uhrmacher and J. Gampe (2013). Building Mic-Core, a Specialized M&S Software to Simulate Multi-State Demographic Micro Models, Based on JAMES II, a General M&S Framework.In Journal of Artificial Societies and Social Simulation 16(3)5. (peer reviewed)
    • S. Zinn (2013). An Imputation Model For Multilevel Binary Data. NEPS Working Paper No. 31.
    • Aßmann, C., Steinhauer, H.W., Zinn, S, and S. Goßmann (2013). Sampling and weighting the Kindergarten cohort sample of the National Educational Panel Study. NEPS Working Paper No. 29.
    • S. Zinn (2013). Replication Weights for the Cohort Samples of Students in Grade 5 and 9 in the National Educational Panel Study. NEPS Working Paper No. 27.

    2012

    • S. Zinn (2012). A mate-matching algorithm for continuous-time microsimulation models. In International Journal of Microsimulation 5(1), 31-51. (peer reviewed)

    2011

    • S. Zinn (2011). A Continuous-Time Microsimulation and First Steps Towards a Multi-Level Approach in Demography. PhD thesis, Faculty of Computer Science and Electrical Engineering, University of Rostock.
    • Software for the project "Bridging the micro-macro gap in population forecasting (MicMac)". www.nidi.nl/en/research/al/micmac/software

    2010

    • Zinn, S., J. Gampe, J. Himmelspach, and A. M. Uhrmacher (2010). A DEVS model for demographic microsimulation. In Spring Simulation Multi-Conference - Symposium on Theory of Modeling & Simulation - DEVS Integrative M&S Symposium (DEVS), 87-94, San Diego, 2010. SCS Publishing House. (peer reviewed)
    • Ogurtsova, E., Gampe, J. and S. Zinn (2010). Practical population forecasting by microsimulation: Application of the MicMac software. In Conference of European Statisticians, Joint Eurostat/UNECE Work Session on Demographic Projections (28-30 April 2010, Lisbon, Portugal), Item 12 - Stochastic techniques for demographic projections. United Nations Statistical Commission and Economic Commission for Europe, Statistical Office of the European Union (EUROSTAT).
    • S. Zinn (2010). A mate-matching algorithm for continuous-time microsimulation models. In Conference of European Statisticians, Joint Eurostat/UNECE Work Session on Demographic Projections (28-30 April 2010, Lisbon, Portugal), Item 12 - Stochastic techniques for demographic projections. United Nations Statistical Commission and Economic Commission for Europe, Statistical Office of the European Union (EUROSTAT). 

    2009

    • Zinn, S., J. Himmelspach, J. Gampe, and A. M. Uhrmacher (2009). Mic-core: A tool for microsimulation. In M. D. Rossetti, R. R. Hill, B. Johansson, A. Dunkin, and R. G. Ingalls (Eds.), Proceedings of the 2009 Winter Simulation Conference. (peer reviewed)
    • Gampe, J., S. Zinn, F. Willekens, N. van der Gaag, J. de Beer, J. Himmelspach and A. M. Uhrmacher (2009). The microsimulation tool of the MicMac-Project. In 2nd General Conference of the International Microsimulation Association, Ottawa.



    Software