Friederike Schmal, M.Sc.

Institute of Econometrics and Economic Statistics
Am Stadtgraben 9
48143 Münster

Room 307
Phone: +49 (0)251-83 22973
Fax: +49 (0)251-83 22012
friederike.schmal@wiwi.uni-muenster.de

Consultation hours:
Wednesday, between 13 and 14 o'clock (by appointment)

 

  • About

    Research focuses
    • Human Capital and Income Risk
    • Decomposing earnings trends
    • German labour market
    • Inequality research
    Education

    since 10/2017               PhD Student, Institute of Econometrics and Economic Statistics, WWU Münster
    10/2015 - 09/2017      M.Sc. Wirtschaftsmathematik, Universität Rostock
    08/2015 - 12/2015      Student Exchange, Lund University, Schweden
    10/2012 - 09/2015      B.Sc. Mathematik, Universität Rostock

    Job Experience

    10/2017 - aktuell           Research Assistant, Institute of Econometrics and Economic Statistics, WWU Münster
    10/2016 - 08/2017       Student Assistant, Chair of Growth and Business Cycles, University of Rostock
    01/2016 - 04/2016       Internship, Postbank, Credit Risk Management
    10/2013 - 08/2015       Student Assistant, Institut of Mathematics, University of Rostock

  • Publications

    Paper

    • Schmal, F., Trede, M., 2023, Hedging potential of occupational and regional wage indices. Journal of Income Distribution, to appear.
    • Johannssen, Chukhrova, Schmal & Stabenow (2021), "Statistical Literacy – Misuse of statistics and its consequences", Journal of Statistics and Data Science Education, pp. 1-9.
    • Weißbach, Schmal (2019), "Estimating the probability of a non-Markovian rating transition from partially unobserved histories", Journal of Risk Management in Financial Institutions, Volume 12 / Number 3 / Summer 2019, pp. 256-267(12)

    Conference Paper

    • 08/2023 - „Fanning out of earnings profiles“, Joint Statistical Meetings (ASA), Toronto, Kanada
    • 10/2022 -  Poster „Decomposing earnings uncertainty using German SOEP data“, Women in Statistics and Data Science Conference (ASA), St. Louis, USA
    • 09/2022 - „Decomposing earnings uncertainty using German SOEP data“, Statistische Woche, Münster
    • 09/2022 - „Decomposing earnings uncertainty using German SOEP data“, International Conference on Economic Modeling and Data Science (EcoMod2022),  Ljubljana, Slovenia
    • 09/2021 - „Studentisches Peer-Review-Verfahren für Seminararbeiten“, Statistische Woche,  Kiel (with Kevin Stabenow)
    • 06/2021 - „The hedging potential of occupational and regional (cohort) wage indices“, The German Labor Market in a Globalized World: Trade, Technology, and Demographics (6th international conference of the DFG Priority Program 1764), ZEW – Leibniz Centre for European Economic Research
    • 08/2020 - „The hedging potential of occupational and regional wage indices“, 3rd Economic Research Colloquium Universität Greifswald, Essen
    • 09/2019 - „Seminar “Statistical Literacy” – Statistikwissen nutzbar machen“, Statistische Woche, Trier (with Kevin Stabenow)

  • Awards

    Best Student Award of the Faculty of Mathematics and Science Academic Year 2016/2017
    12/2017 - University of Rostock

  • Lectures

  • Theses

    Supervised Theses

    • Eine Paneldatenanalyse der Environmental Kuznets Curve-Hypothese unter der Berücksichtigung von Schulbildung (Master)
    • The survival time of a cartel dependent on the number of companies involved and their qualitative heterogeneity: An empirical analysis of the cartel cases uncovered by the EU competition authority (Bachelor)
    • Randomized Response Techniques in Online Surveys - An application on the subject of "cheating in test situations" (Bachelor)