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
2017 | Doctorate as Dr. rer. pol. Dissertation: Regression Modelling with Complex Survey Data: An Investigation Using an Extended Close-to-Reality Simulated Household Population Trier University |
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2009 | Diploma in Economics Diploma thesis: Carry Trades - ein Beleg systematischer Ineffizienzen von Devisenmärkten? Trier University |
Curriculum vitae
since 2022 | Assistant professor at the Economic and Social Statistics Department at Trier University |
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since 2018 | Managing director of the Research Institute for Official and Survey Statistics (RIFOSS) |
2018-2022 | Academic councilor (lifetime appointment since 2019) at the Economic and Social Statistics Department at Trier University |
2011-2018 | Research assistant at the Economic and Social Statistics Department at Trier University |
2009-2011 | Junior Portfolio Manager at DZ PRIVATBANK S.A. (vorm. DZ BANK International S.A.) in Luxembourg-Strassen |
2003-2009 | Study of Economics at Trier University Focus: money, credit, currency Elective: Economic and Social Statistics |
2008-2009 | Internship at DZ BANK International S.A. in Luxembourg-Strassen |
2007-2008 | Student assistant at the Cair of Economics (Particularly money, credit and currency) at Trier University |
2006 | ERASMUS-Semester at the University of Maastrich |
2005-2006 | Internship at Dexia Banque Internationale à Luxembourg S.A. in Luxembourg |
2003 | Abitur 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