Dr. Florian Ertz

Focus of work

Research

  • Didactics of statistics
  • Statistical und Data Literacy
  • Econometric modeling of complex survey data
  • Generation of synthetic microdata
  • Wealth surveys

Participation in research projects

  • Principal Investigator in the research association Sicherung nachhaltiger Umwelt-Mensch-Beziehungen durch den Einsatz von Mikrosimulationsmethoden as part of the research initiative of Rheinland-Pfalz 2024-2028.
  • DFG research group Sektorenübergreifendes kleinräumiges Mikrosimulationsmodell (MikroSim), Project number: FOR 2559, Funding scheme: DFG-Forschungsgruppe. 01.09.2018 - 31.12.2025.
  • InGRID-2 - Integrating Research Infrastructure for European expertise on Inclusive Growth from data to policy, Project number: G.A. no. 730998, Funding scheme: European Commission, Horizon 2020 – Research and Innovation Framework Programme -
    European Research Infrastructures (including e-Infrastructures). 01.05.2017 - 30.04.2021.
  • MAKSWELL - MAKing Sustainable development and WELL-being frameworks work for policy, Project number: G.A. no. 770643, Funding scheme: European Commission, Horizon 2020 – Research and Innovation Framework Programme - Coordination and
    Support Actions. 01.11.2017 - 30.04.2020.
  • Small Area Estimation (SAE) for city statistics and other functional areas part II, Tender reference number: ESTAT/B/2017/017 (Supply of statistical services in statistical methodology); Lot 1: Methodological support; Eurostat Specific Contract No. 2018.0028, Funding scheme: Eurostat Framework Contract No. 2018.0086, Contractor of GOPA Gesellschaft für Organisation, Planung und Ausbildung mbH. 01.07.2018 - 31.05.2019.

Teaching

  • Statistical Literacy (Lecture, M.Sc.)
  • Elements of Statistics (Lecture, M.Sc.)
  • Microsimulation Methods (Lecture, M.Sc.)
  • Statistik I + II: Repetitorium (Lecture, B.Sc.)
  • Survey Sampling (Tutorial, M.Sc.)
  • Statistik I + II: Deskriptive und induktive Statistik (Lecture, B.Sc.)
  • Monte Carlo Simulation Methods (Lecture, M.Sc.)
  • Survey Econometrics (Lecture and Tutorial, M.Sc.)
  • Statistical Programming with R (Lecture, M.Sc.)
  • Statistics Refresher for Master Students (Lecture, M.Sc.)
  • Empirische Wirtschaftsforschung (Teil A): Einführung in die empirische Wirtschaftsforschung (Lecture and Exercise, B.Sc.)
  • Armutsmessung (Research project, M.Sc.)
  • Analyse von Konsumenten- und Finanz-Surveys (Lecture and Exercise, B.Sc.)
  • Zeitreihenanalyse (Exercise, M.Sc.)

Scientific career

2017Doctorate as Dr. rer. pol. 
Dissertation:
Regression Modelling with Complex Survey Data: An Investigation Using an Extended Close-to-Reality Simulated Household Population
Trier University
2009Diploma in Economics
Diploma thesis:
Carry Trades - ein Beleg systematischer Ineffizienzen von Devisenmärkten?
Trier University

Curriculum vitae

since 2022Assistant professor at the Economic and Social Statistics Department at Trier University
since 2018Managing director of the Research Institute for Official and Survey Statistics (RIFOSS)
2018-2022Academic councilor (lifetime appointment since 2019) at the Economic and Social Statistics Department at Trier University
2011-2018Research assistant at the Economic and Social Statistics Department at Trier University
2009-2011Junior Portfolio Manager at DZ PRIVATBANK S.A. (vorm. DZ BANK International S.A.) in Luxembourg-Strassen
2003-2009Study of Economics at Trier University
Focus: money, credit, currency
Elective: Economic and Social Statistics
2008-2009Internship at DZ BANK International S.A. in Luxembourg-Strassen
2007-2008Student assistant at the Cair of Economics (Particularly money, credit and currency) at Trier University
2006ERASMUS-Semester at the University of Maastrich 
2005-2006Internship at Dexia Banque Internationale à Luxembourg S.A. in Luxembourg
2003Abitur at Nikolaus-von-Kues-Gymnasium in Bernkastel-Kues

Conference presentations

Laufer, S.; Ertz, F. (2025): Didaktik in einführenden Statistikvorlesungen - aktueller Forschungsstand und -bedarf; SurvConf '25 - Fünfte Konferenz der Surveystatistiker des deutschsprachigen Raumes; Olten (CH); 10.01.2025.

Ertz, F.; Münnich, R. (2024): Die Nutzung digitaler Komponenten in einer Statistik-Vorlesung; Jahrestagung der Deutschen Statistischen Gesellschaft (Statistische Woche) 2024; Regensburg; 10.09.2024.

Ertz, F.; Hotz, T.; Skill, T.; Weinert, H. (2024): Was bedeutet Lehren und Lernen in Angewandter Statistik?; Jahrestagung der Deutschen Statistischen Gesellschaft (Statistische Woche) 2024; Regensburg; 10.09.2024.

Münnich, R.; Ertz, F. (2022): Regionalized Dynamic Microsimulations - An Introduction to the MikroSim Model; Konferencja SEMPP 2021; Kattowitz (PL) / Online; 05.04.2022.

Ertz, F.; Münnich, R.; Röder, D. (2021): Die Statistik-Ausbildung in den Zeiten der Pandemie: Erfahrungen aus dem Maschinenraum; Jahrestagung der Deutschen Statistischen Gesellschaft (Statistische Woche) 2021; Kiel / Online; 14.09.2021.

Ertz, F.; Münnich, R.T. (2019): Extending Simulation Populations Using Additional Survey Datasets; CELSI Data Forum - Data Pooling: Opportunities and Challenges; Bratislava (SK); 11.10.2019.

Ertz, F.; Münnich, R.T. (2018): On the Synthesis of Data Sources for the Generation of Simulation Populations: Ways Towards a Simulation Environment for European Wealth Surveys; Deutsche Bundesbank; Frankfurt am Main; 18.10.2018.

Ertz, F.; Münnich, R.T. (2018): Zur Synthese von Datenquellen bei der Erzeugung von Simulationsgesamtheiten; Jahrestagung der Deutschen Statistischen Gesellschaft (Statistische Woche) 2018; Linz (AT); 11.09.2018.

Ertz, F.; Münnich, R. (2018): Teaching Statistics at Trier University; 6th EMOS Workshop: Taking EMOS to the next level; Ljubljana (SI); 06.03.2018.

Ertz, F. (2017): Regressionsmodelle und komplexe Stichprobenerhebungen; SurvConf '17 - Dritte Konferenz der Surveystatistiker des deutschsprachigen Raumes; Gumpoldskirchen (AT); 25.05.2017.

Ertz, F.; Münnich, R. (2015): Pitfalls of Regression Modelling with Complex Survey Data - The Case of the HFCS; 3rd Luxembourg Workshop on Household Finance and Consumption der Banque Centrale du Luxembourg; Luxemburg (LU); 26.06.2015.

Ertz, F.; Münnich, R. (2015): Pitfalls of Regression Modelling with Complex Survey Data - The Case of the HFCS; Deutsche Bundesbank; Frankfurt am Main; 31.03.2015.

Ertz, F.; Münnich, R. (2015): Pitfalls of Regression Modelling with Complex Survey Data; Lightning Bolt and Poster Presentation; New Techniques and Technologies for Statistics (NTTS) 2015; Brüssel (BE); 11.03.2015.

Ertz, F.; Münnich, R. (2014): Probleme ökonometrischer Schätzungen bei Oversampling; Jahrestagung der Deutschen Statistischen Gesellschaft (Statistische Woche) 2014; Hannover; 18.09.2014.

Publications

Ertz, F. (2022): Regression Modelling with Complex Survey Data: An Investigation Using an Extended Close-to-Reality Simulated Household Population. Dissertation. Universität Trier.

Ahmed, A.; Articus, C.; Ertz, F.; Münnich, R.; Schmaus, S.; Shlomo, N.; Weymeirsch, J. (2021): Overview Report on the Generation of Synthetic Universes for Microsimulations. Deliverable 12.6 of the InGRID-2 project. URL: www.inclusivegrowth.eu/files/Output/D12.6.pdf (Stand: 17.01.2025).

Zimmermann, T.; Polidoro, F.; Di Leo, F.; Fedeli, M.; Burger, J.; van den Brakel, J.; Pratesi, M.; Giusti, C.; Marchetti, S.; Biggeri, L.; Bertarelli, G.; Spagnolo, F.S.; Laureti, T.; Benedetti, I.; Smith, P.A.; Dawber, J.; Tzavidis, N.; Luna, A.; O’Donoghue, J.; Flower, T.; Thomas, H.; Würz, N.; Schmid, T.; Articus, C.; Burgard, J.P.; Caratiola, C.; Dieckmann, H.; Ertz, F.; Krause, J.; Münnich, R.; Wölwer, A.-L. (2020): Guidelines for best practices implementation for transferring methodology. Deliverable 3.2 of the MAKSWELL project. URL: https://www.makswell.eu/attached_documents/output_deliverables/deliverable_3.2.pdf (Stand: 17.01.2025).

Höfler-Hoang, B.; Röder, D.; Ertz, F. (2020): Digitalisierung als Teil der Universitätsentwicklung - Strukturen, Angebote und Ziele der Universität Trier. In: Richard Stang und Alexandra Becker (Edts.): Zukunft Lernwelt Hochschule - Perspektiven und Optionen für eine Neuausrichtung. de Gruyter: Berlin/Boston, p. 35–43, URL:  https://www.researchgate.net/publication/342845614_ Digitalisierung_als_Teil_der_Universitatsentwicklung (Stand: 17.01.2025).

Van den Brakel, J.; de Jong, T.; Smith, P.; Tzavidis, N.; Bacchini, F.; Di Consiglio, L.; Ferruzza, A.; Palma, A.L.; Tagliacozzo, G.; Tuoto, T.; Köhlmann, M.; Rosenski, N.; Schartner, C.; Caratiola, C.; Ertz, F.; Güdemann, L.; Münnich, R.; Giusti, C.; Pratesi, M. (2020): Research needs in terms of statistical methodologies and new data. Deliverable 2.3 of the MAKSWELL project. URL: https://www.makswell.eu/attached_documents/output_deliverables/deliverable_2.3.pdf (Stand: 17.01.2025).

Van den Brakel, J.; Krieg, S.; Smith, P.; Tzavidis, N.; Ertz, F.; Münnich, R. (2019): Report on survey discontinuities. Deliverable 4.3 of the MAKSWELL project. URL: https://www.makswell.eu/attached_documents/output_deliverables/deliverable_4.3.pdf (Stand: 17.01.2025).

Münnich, R.; Burgard, J. P.; Ertz, F.; Lenau, S.; Manecke, J.; Merkle, H. (2019): Guidelines on small area estimation for city statistics and other functional geographies. eurostat Manuals and Guidelines, doi: 10.2785/763467, URL: https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/ks-gq-19-011 (Stand: 17.01.2025).

Münnich, R.; Burgard, J. P.; Ertz, F.; Lenau, S.; Manecke, J.; Merkle, H. (2019): Small area estimation for city statistics and other functional geographies. eurostat Statistical Working Papers, doi: 10.2785/898627, URL: https://ec.europa.eu/eurostat/web/products-statistical-working-papers/-/ks-tc-19-006 (Stand: 17.01.2025).

Zimmermann, T.; Kollár, K.; Schwartz, A.; Jankó, B.; Siciliani, I.; Bacchini, F.; van den Brakel, J.; Giusti, C.; Pratesi, M.; Caratiola, C.; Dieckmann, H.; Ertz, F.; Güdemann, L.; Konrad, A.; Münnich, R.; Wölwer, A.-L. (2019): Report on methods and data base for regional income and household expenditures. Deliverable 3.1 of the MAKSWELL project. URL: https://www.makswell.eu/attached_documents/output_deliverables/deliverable__3.1.pdf (Stand: 17.01.2025).

Van den Brakel, J.A.; Buelens, B.; Curier, R.L.; Daas, P.; Gootzen, Y.; de Jong, T.; Puts, M.; Tennekes, M.; Willems, R.; Brunetti, A.; Fatello, S.; Polidoro, F.; Simone, A.; Ferruzza, A.; Palma, A.L.; Tagliacozzo, G.; Rosenski, N.; Wichmann, K.; Zimmermann, T.; Ertz, F.; Güdemann, L.; Münnich, R. (2019): Aspects of existing databases, traditional and non-traditional data sources and collection of good practices. Deliverable 2.1 of the MAKSWELL project. URL: https://www.makswell.eu/attached_documents/output_deliverables/deliverable_2.1.pdf (Stand: 17.01.2025).

Burgard, J.-P.; Ertz, F.; Merkle, H.; Münnich, R. (2017): AMELIA - Data description v0.2.2.1. Economic and Social Statistics Department - Trier Univer- sity, URL: http://amelia.uni-trier.de/wp-content/uploads/2017/11/AMELIA_Data_Description_v0.2.2.1.pdf (Stand: 17.01.2025).

Hulliger, B.; Lehtonen, R.; Münnich, R.; Kolb, J.-P.; Ertz, F.; Parvan, D.; Jacquet L. (2012): Analysis of the Future Research Needs for Official Statistics. eurostat Methodologies and Working papers, doi: 10.2785/19629, URL: https://ec.europa.eu/eurostat/web/products-statistical-working-papers/-/ks-ra-12-026 (Stand: 17.01.2025).

Poster presentations

Bauer, C.; Ertz, F. (2018): Wealth tax to replace income taxes; 6th Luxembourg Workshop on Household Finance and Consumption der Banque Centrale du Luxembourg; Luxemburg (LU); 21.06.2018.

Ertz, F.; Münnich, R. (2015): Pitfalls of Regression Modelling with Complex Survey Data; Lightning Bolt and Poster Presentation; New Techniques and Technologies for Statistics (NTTS) 2015; Brüssel (BE); 11.03.2015.

Editorships

  • since 2025 Associate Editor of Statistical Papers

Reviewing Activities

  • Journal of Official Statistics
  • Survey Methods: Insights from the Field (SMIF)
  • AStA Wirtschafts- und Sozialstatistisches Archiv

Memberships

  • Deutsche Statistische Gesellschaft (DStatG)
  • Data Literacy Education Netzwerk