Personal profile
Personal information
Marina Friedrich (she/they) is a tenured Assistant Professor at the Department of Econometrics and Data Science and a Research Fellow at the Tinbergen Institute. Marina holds a PhD degree from Maastricht University (2020). A pdf version of her thesis can be found here. Before coming to VU, Marina did a two year PostDoc at the Potsdam Institute for Climate Impact Research (PIK). Her expertise is therefore interdisciplinary and focuses on making econometric methods more suitable and accessible to study issues related to climate change.
Research
In their current research, Marina wants to bridge the gap between econometrics and climate sciences. As a Veni Laureate from the Dutch Research Council's Talent Scheme (NWO), she works on making statistical and econometric methods more suitable and accessible for climate researchers. Examples of their work include studying the changing sensitiviy of crop yields to climate variables and understanding past and future developments of atmospheric ethane, an important indicator of atmospheric pollution.
Marina's work is interdisciplinary and she actively collaborates on various projects with climate scientists from different fields. Within econometrics, her expertise is in time series and panel data econometrics. More specifically: how to model relationships that are varying over time, how to measure uncertainty in such models using bootstrapping, how to handle missing data and how to uncover trends in noisy data.
Teaching
Marina teaches techniques in econometrics, statistics and data science on BSc and MSc level. She has supervised a large number of BSc and MSc theses and coordinated the theses process in the climate econometrics track of the master. Since 2022, she is part of the programme committee of the Master in Econometrics and Operations Research.
Ancillary activities
No ancillary activities
Ancillary activities are updated daily
Academic qualification
Econometrics, PhD, Bootstrap inference for environmental trends, Maastricht University
Award Date: 10 Dec 2020
Keywords
- HA Statistics
- time series econometrics
- bootstrap
- nonparametric estimation
- climate econometrics
- interdisciplinary
- climate change
- atmospheric ethane
- time-varying coefficient models
- panel data econometrics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 13 Climate Action
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Collaborations and top research areas from the last five years
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Identifying trend reversals in atmospheric ethane from a multi-site analysis
Friedrich, M., Koopman, S. J., Lin, Y., Mahieu, E., Smeekes, S., Mazière, M. D., Flood, V., Frey, M. M., Grutter, M., Hannigan, J. W., Hase, F., Jones, N., Kivi, R., Makarova, M., Morino, I., Murata, I., Nagahama, T., Notholt, J., Ortega, I. & Prignon, M. & 5 others, , Apr 2026, In: Climatic Change. 179, 4, 66.Research output: Contribution to Journal › Article › Academic › peer-review
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The impact of natural hazards on migration in the United States and the effect of spatial dependence
Ton, M. J., de Moel, H., de Bruijn, J. A., Botzen, W. J. W., Karabiyik, H., Friedrich, M. & Aerts, J. C. J. H., 2026, In: Journal of Environmental Planning and Management. 69, 1, p. 28-46 19 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Modelling time-varying relations in housing prices: A semiparametric panel approach
Friedrich, M., Lin, Y., Ramdaras, P., Telg, S. & van der Sluis, B., Dec 2025, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 74, 5, p. 1217–1238 22 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Forecasting Atmospheric Ethane: Application to the Jungfraujoch Measurement Station
Friedrich, M., Moussa, K., Shapovalova, Y. & van der Straten, D., 11 Apr 2025, Tinbergen Institute, (TI Discussion Paper Series; no. 25-025/III).Research output: Working paper / Preprint › Working paper › Professional
Open Access -
Sieve bootstrap inference for linear time-varying coefficient models
Friedrich, M. & Lin, Y., Feb 2024, In: Journal of Econometrics. 239, 1, p. 1-29 29 p., 105345.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access
Courses
Projects
- 1 Active
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NWO-Veni: Climetrics: Bringing together econometrics and climate sciences
Friedrich, M. (Principal Investigator) & van der Straten, D. (Project Researcher)
1/01/25 → 31/12/27
Project: Research
Datasets
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Macro economic data to "Modelling time-varying relations in housing prices: a semiparametric panel approach"
Friedrich, M. (Creator), Lin, Y. (Creator), Ramdaras, P. (Creator), Telg, S. (Creator) & van der Sluis, B. (Creator), GitHub, 17 Mar 2025
https://github.com/PavitramRamdaras/Time-VaryingPanelEst
Dataset / Software: Dataset
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Data to "Identifying trend reversals in atmospheric ethane from a multi-site analysis"
Friedrich, M. (Creator), Koopman, S. J. (Creator), Lin, Y. (Creator), Smeekes, S. (Creator), Mahieu, E. (Creator), de Maziere, M. (Creator), Flood, V. (Creator), Frey, M. M. (Creator), Grutter, M. (Creator), Hannigan, J. W. (Creator), Hase, F. (Creator), Jones, N. (Creator), Kivi, R. (Creator), Makarova, M. (Creator), Morino, I. (Creator), Murata, I. (Creator), Nagahama, T. (Creator), Notholt, J. (Creator), Ortega, I. (Creator), Prignon, M. (Creator), Röhling, A. N. (Creator), Smale, D. (Creator), Strong, K. (Creator), Té, Y. (Creator) & Zhou, M. (Creator), Zenodo, 31 May 2027
Dataset / Software: Dataset
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EUETS data to "Sieve bootstrap inference for linear time-varying coefficient models"
Friedrich, M. (Creator) & Lin, Y. (Creator), Zenodo, 22 May 2026
Dataset / Software: Dataset
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Housing data to "Modelling time-varying relations in housing prices: a semiparametric panel approach"
Friedrich, M. (Creator), Lin, Y. (Creator), Ramdaras, P. (Creator), Telg, S. (Creator) & van der Sluis, B. (Creator), YODA, 17 Mar 2025
https://publication.yoda.vu.nl/full/VU01/ZUQJRK.html
Dataset / Software: Dataset