Resume

Card image cap

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.

To download my CV, click here.

Research

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.

Freelance

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