Aurélien Goutsmedt
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Aurélien Goutsmedt

Historian of economics & political economist
UCLouvain (ISPOLE) · ICHEC Brussels

I am a historian of economics and a political economist. I work on the history of economic ideas, economic expertise and policies (notably central banks) since the 1970s and the stagflation. I also develop quantitative tools and open databases for the history of economics.

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Portrait of Aurélien Goutsmedt

Recent work

Publications

  • One Sentence at a Time: A Quantitative History of Rationality in Economic Thought
    2026 · Forthcoming · European Journal for the History of Economic Thought
  • Economists, Economic Knowledge, and Central Banks
    2026 · Forthcoming · Cambridge University Press, Cambridge Elements
  • A History of Macroeconomics
    2026 · Forthcoming · Cambridge University Press, Elements
  • To Change or Not to Change: The Evolution of Forecasting Models at the Bank of England
    2025 · Journal of Economic Methodology 32(2): 66–86
  • Redefining Scientization: Central Banks Between Science and Politics
    2025 · Finance and Society 11(2): 209–229
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Projects

mintR

From a collection of texts to a structural topic model that can be justified: text preparation, comparison of many candidate models, and human validation.

OEconomia permanent call: Quantitative Methods and Data in the History, Philosophy, and Methodology of Economics

An open, continuous call for papers presenting innovative uses of quantitative methods and data in the history, philosophy and methodology of economics, with a particular…

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Posts

Release of anystyleR 0.0.999 (Development version)

I am thrilled to announce the inaugural development release of anystyleR! anystyleR is designed to extract, parse and clean…

Jan 8, 2024

Scraping Documents from the Bank of England Website

In this post, you will learn how to scrape various research documents from the Bank of England website.

Nov 28, 2023
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About this site. Built with Quarto, and freely inspired by other researchers’ websites, many thanks to them: Silvia Canelón, Arthur Turrell, Andrew Heiss, Guillaume Noblet, Mine Çetinkaya-Rundel (Data Science in a Box), and Thomas Delcey (code) for the slide viewer on the course pages. Colours and fonts come from the former version of this site, built with the Hugo Academic/Wowchemy theme.

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