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I am a post-doc (LSE Fellow) at the Department of Methodology at the London School of Economics. I received my PhD from the University of Oxford in 2023. My research interest includes social and health policies as well as climate change. I use mostly causal inference approaches to evaluate the impact of policies on various individual and societal outcomes. I teach graduate-level courses (MSc and PhD) on causal inference, quantitative research methods, regression analysis, data science, and machine learning.

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Journal articles

Furceri, D., Ganslmeier, M., & Ostry, J. D. (2023).
Are Climate Change Policies Politically Costly?
Energy Policy, 178, 113575.

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.


In progress / under review

Ganslmeier, M.
Are Campaign Promises Effective?
under review

Ganslmeier, M., & Vlandas, T.
Welfare State Determinants: An Augmented Extreme Bounds Analysis
under review

Bettarelli, L., Furceri, D., Ganslmeier, M., & Schiffbauer, M.
The Economic Costs of Temperature Volatility: Evidence from US Firms.
under review

Ganslmeier, M., Klymak, M., & Vlandas, T.
Do Pension Benefits Mobilize?
in progress

Mealy, P., & Ganslmeier, M.
Measuring Climate Change Legislation: A Natural-Language-Processing Approach.
in progress


Further research work

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 accelerate 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