About me

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I am a post-doc (LSE Fellow) at the Department of Methodology at the London School of Economics and a DPhil candidate in Social Policy at the Department of Social Policy and Intervention at the University of Oxford. In my research, I focus on research questions in the fields and intersection of economics and political science using causal inference and machine learning approaches. I teach courses on causal inference, quantitative research methods, regression analysis, data science, and machine learning.

I hold a bachelor’s degree in Economics from Zeppelin University (with semester abroad at Columbia University) and a master’s degree in International Political Economy from London School of Economics. Before and during my doctoral studies, I have worked as Consultant, Researcher and Research Assistant at IMF, Oxford, LSE, UCL, King's College London, and EBRD.

To download my CV, click here.


Journal articles

Ganslmeier, M., Van Parys, J., & Vlandas, T. (2022).
Compliance with the first UK COVID-19 Lockdown and the Compounding Effects of Weather.
Scientific Reports, 12(1), 1-10.

Ganslmeier, M., Furceri, D., & Ostry, J. D. (2021).
The Impact of Weather on COVID-19 Pandemic.
Scientific Reports, 11(1), 1-7.

Vlandas, T., McArthur, D., & Ganslmeier, M. (2021).
Ageing and the Economy: A Literature Review of Political and Policy Mechanisms.
Political Research Exchange, 3(1), 1932532.


Book chapters

Martelli, A., Campos, N. F., Ganslmeier, M., Ji, Y., & Saka, O. (2020).
On the Complementarity between Labour Market Regulation and Tax Reforms in the European Union.
In Economic Growth and Structural Reforms in Europe (pp. 280-313).
Cambridge University Press.

Saka, O., Martelli, A., Ganslmeier, M., Ji, Y., Campos, N. F., & De Grauwe, P. (2020).
Structural Reforms in Europe. Lessons from Early Experiences.
In Economic Growth and Structural Reforms in Europe (pp. 317-341).
Cambridge University Press.


Working papers / in progress

Ganslmeier, M., Klymak, M., & Vlandas, T. (2023).
Do Pension Benefits Mobilize?

Ganslmeier, M. (2022).
Are Campaign Promises Effective?

Ganslmeier, M., & Vlandas, T. (2022).
Welfare State Determinants: An Augmented Extreme Bounds Analysis.

Furceri, D., Ganslmeier, M., & Ostry, J. D. (2021).
Are Climate Change Policies Politically Costly?

Furceri, D., Ganslmeier, M., Ostry, J. D., & Yang, N. (2021).
Initial Output Losses from the Covid-19 Pandemic: Robust Determinants.

Ganslmeier, M., Deb, P., Furceri, D., Ostry, J., & Tawk, N. (2021).
Vaccinate Early and Vaccinate Broadly: On the Health and Economic Effects of COVID-19 Vaccines.

Aksoy, C., Ganslmeier, M., & Poutvaara, P. (2020).
Public Attention and Policy Responses to COVID-19 Pandemic.


I have helped various clients to excellerate their data-driven projects on a freelance basis. If you are interested in hiring me, do not hesitate to get in touch. I speak multiple languages (R, Python, Stata, SQL, Ruby, JavaScript and HTML), and I have experience in the following techniques:

Deep Learning

Natural Language Processing

Causal Inference

Geo Mapping

Web Scraping

Descriptive Analysis