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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):

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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