CV — Germán A. Tessmer

Curriculum Vitae of Germán A. Tessmer. Economist, Director of Observatorio Económico Social UNR, Econometrics Lecturer. Education, publications, consulting, and technical skills.

Current Position

Director, Observatorio Económico Social · Universidad Nacional de Rosario (UNR) (2019–present)

Lecturer, Econometrics II · Faculty of Economics and Statistics, UNR (2024–present)

Applied Economics Consultant, private sector (2022–present)

Education

  • PhD in Economics (thesis proposal submitted, 2026) · Universidad Nacional de Rosario
  • MA in Economics · Universidad de San Andrés (2012–2013)
  • Management Development Program · Universidad Torcuato Di Tella (2016)
  • University Teaching Certificate · Universidad Abierta Interamericana (2014–2015)
  • BA in Economics (thesis grade: 10/10) · Universidad Nacional de Rosario (2000–2006)

Experience

Institutional Management & Research

  • Director, Observatorio Económico Social UNR (2019–present). Leadership of a research and communication unit under the Vice-Rectorate. Production of open data, economic reports, and public-facing analysis for policymakers, journalists, and the general public.
  • Deputy Director, Observatorio Económico Social UNR (2014–2019).

Teaching

  • Lecturer, Econometrics II · UNR (2024–present)
  • Teaching Assistant, Sociology · UNR (2021–present)
  • Instructor, Foundations of Data Analytics · UNR School of Trades (2023–2024)
  • Teaching Assistant, Introduction to Social Sciences & Microeconomics II · UNR (2014–2020)
  • Guest Lecturer, Graduate seminars · Universidad Austral Rosario (2019–2021)
  • Teaching Assistant, Economics I · Universidad de San Andrés (2013)

Consulting

  • Sectoral analysis of the rubber and latex market (private client, 2022–present)
  • Productive Structure of Chaco Province — Livestock Sector · Ministry of Economy of Chaco (2023)
  • Hazardous Waste Observatory (2021–present)

Research & Selected Publications

Working Papers

  • From Breaks to Bridges: Harmonizing the New and Old Permanent Household Survey for Consistent Labor Market Series (with Bárbara Boggiano) → SSRN

Data

  • Tessmer, G.; Moleres, S.; Hess, L. E. (2024). EPH – Observatorio. Encuesta Permanente de Hogares de Argentina. Explicada, etiquetada y ampliada. Universidad Nacional de Rosario. doi:10.57715/UNR/BL85Z8

Book

  • Navarro, A. I.; Tessmer, G.; D’Elia, V.; et al. (2018). Cruzar la meta y seguir corriendo. La Universidad Nacional de Rosario y la empleabilidad de sus graduados en el Gran Rosario. Xanto Editora. ISBN: 978-987-42-9366-4. → Repository

Reports & Outreach

Director and co-author of over 60 research and outreach reports published between 2015 and 2024 through the Observatorio Económico Social UNR (ISSN 2683-9067). All reports available through the UNR institutional repository.

Selected reports:

  • Nueva ley de alquileres: contexto general y situación de los estudiantes de UNR (with Diego Marfetán Molina, Luciano Jara Musuruana, et al.) · 2021. → Repository
  • Pre-Covid: Indicadores socio-económicos para AGR y Argentina (with Luciano Jara Musuruana, Diego Marfetán Molina, et al.) · 2020. → Repository
  • La educación en Santa Fe y Rosario: resultados Aprender 2016 (with Patricio Almeida Gentile) · 2017. → Repository
  • 10 preguntas para entender las variaciones del tipo de cambio · 2016. → Repository

Academic Evaluation

  • Thesis jury and external examiner for MA theses at Universidad de San Andrés and Universidad Austral.
  • External peer reviewer: Papers. Revista de Sociología, Universitat Autònoma de Barcelona (2025).
  • Thesis jury for undergraduate dissertations, UNR (2021–present).

Languages

Language Level Certification
English C2 CAE · Cambridge (2025); C2 EFSET · EF Education First (2025)
Spanish Native —

Technical Skills

Data analysis: R · Python · SQL · Power BI

Empirical methods: LASSO / post-LASSO · causal inference · Heckman selection models · reproducible pipelines

Tools: Git · R Markdown / Quarto · AI-assisted empirical workflows

Certifications: CAE Cambridge (2025) · Data Analyst with R (DataCamp, 2024) · R Programming Track (DataCamp, 2017) · Intermediate SQL · PostgreSQL Window Functions · Introduction to Python (DataCamp, 2022–2024)

Full CV available upon request.