Arnaud Dyèvre
Arnaud Dyèvre
Pronounced Ar-no Dee-ev-re
Post-Doctoral Associate, MIT
📍 Cambridge, MA
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I am a Post-Doctoral Associate at MIT, where I work within the Science for Progress Initiative.
In September 2025, I will join HEC Paris as an Assistant Professor of Economics.
My research interests are in Macroeconomics and Public Economics.
Email: dyevre [at] mit [dot] edu
CV: Available here
Working papers
Working papers
Public R&D Spillovers and Productivity Growth, June 2024, [Updated version coming soon]
Best Job Market Paper Award 2023 - European Economic Association & UniCredit Foundation
Finalist - ECB Young Economist Prize
Coverage: [Macro roundup], [Noahpinion], [New Things under the Sun], [Maximum Progress], [Alternatives Économiques], [CEPR podcast]
Publications
Publications
Innovation Catalysts: How Multinationals Reshape the Global Geography of Innovation
with Riccardo Crescenzi & Frank Neffke
Economic Geography, June 2022
[Appendix], [Summary thread], [Data visualisation]
Coverage: [Financial Times], [LSE Business Review], [GILD blog I], [GILD blog II]
Graduating from Food Insecurity: Evidence from Graduation Projects in Burundi and Rwanda
with Stephen Devereux, Keetie Roelen, Ricardo Sabates, Rachel Sabates-Wheeler & Dimitri Stoelinga
Food Security, February 2019
Teaching
Teaching
HEC Paris
From 2025 onward: Postgraduate Macroeconomics (Master's in Economics & Finance)
From 2025 onward: Undergraduate Macroeconomics (Core undergraduate curriculum)
LSE (teaching assistant)
2021 - 2023: MSc. Macroeconomics (EC413)
2020/21 Class Teacher Award winner, Dept. of Economics. Evaluations: 2021, 2022, 2023
2019 - 2020: BSc. Econometrics (EC220)
2020/21 LSE Excellence in Education Award winner, Dept. of Economics. Evaluations: 2019, 2020
2020 - 2022: MSc. & PhD. Statistics for Economics Bootcamp (EC400)
No teaching evaluations for this class
Code
Code
Python for Social Scientists
A weeklong, Ph.D.-level course on how to use Python for statistical analysis (created with Jialin Yi).
It covers an intro to programming, statistics & econometrics in Python and an introduction to machine learning
Numerical solution to Kiyotaki & Moore (1997) Credit Cycles’ model (Python)
[Repository] (with paper)
Introduction to Programming with Python
A weeklong programming exercise designed to introduce Python & coding in a fun way to high-school students (as part of LSE’s outreach program: LSE Widening Participation)
Media & Other Writings
Media & Other Writings
Les dépenses militaires sont bénéfiques à l'économie (in French, March 2025)
Les Échos
Les externalités économiques des dépenses militaires (in French, April 2025)
Télos
Public vs. private R&D: Impacts on productivity (January 2025)
European Central Bank Blog
More government spending on research and development is needed to achieve a healthy mix of both private and public innovation (September 2024)
LSE Blog: USA Politics & Policy
Gouvernement et secteur privé sont des alliés dans le financement de la R&D, pas des ennemis (in French, January 2024)
Le Monde
Big firms have different incentives (August 2023)
In Matt Clancy’s New Things Under the Sun
The size of firms and the nature of innovation (June 2023)
In Matt Clancy’s New Things Under the Sun
Outreach
Outreach
With friends and colleagues at LSE, I co-founded the Applicant Mentoring Programme (AMP), a mentoring scheme for PhD applicants from underrepresented backgrounds. AMP is now a multi-university effort, led by PhD students at Cambridge, LSE, Oxford, UCL, and Warwick. Between 2020 and 2023, AMP has helped 467 applicants, thanks to 139 PhD mentors. Here is a short note about AMP summarising the lessons we have learned.
PhD applicants who come from socio-economic backgrounds that are underrepresented in the profession should feel free to fill out the form in the website hyperlinked above. Subject to capacity constraints, they will be matched to a mentor who is a PhD student in one of the 5 participating universities.
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