I am a British Academy Postdoctoral Fellow at the London School of Economics and Political Science, having received a grant to work on my project The Political Economy of Narratives. I completed my DPhil (PhD) in Economics at the University of Oxford in 2023.
My main research focus is on the study of how political narratives interact with the economy, from a theoretical and empirical perspective. In terms of theory, I develop models of political competition in narratives where politicians supply narratives to win elections and voters demand narratives based on what suits their interests. In my empirical work I apply large language models to study narratives employed in political speeches.
My research on narratives includes studying:
the emergence of left-wing versus right-wing populist narratives
the success and failure of pro-market ("neoliberal") narratives (joint project with Tim Besley; link to working paper)
shifts in climate change policy narratives (joint project with Luis Garicano; link to working paper)
how science skeptic narratives impeded the effectiveness of COVID-19 policies (joint project with Valentin Kecht, David van Dijcke, and Austin L. Wright; link to published paper)
In another line of research at the intersection of political economy and monetary economics, I examine what lessons can be drawn for today from studying the monetary economies of the past. We reviewed some of the insights from this line of work in a paper at the Annual Review of Economics (together with Nuno Palma and François Velde; ungated link here), which was also covered by this article in The Economist.
I have also worked with the UK Treasury and Office for Budget Responsibility on building an Overlapping Generations Model for policy analysis, published as an OBR working paper. It has been used in the OBR's Fiscal risks and sustainability report of July 2025.
You can find more details about my research in the research tab.
Contact: a.j.brzezinski[-at-]lse.ac.uk
Google scholar: https://scholar.google.com/citations?user=Kwf3rLIAAAAJ&hl=de