PhD Student in Economics
Department of Economics and Public Policy
Imperial College London
m.de-maria@imperial.ac.uk
Welcome! I am a second-year PhD student in Economics at Imperial College London. My main field of research is empirical industrial organization, which I use to study how market power shapes innovation incentives and the direction of technological change.
I received my MSc (with Distinction) in Economics from UCL and my BSc summa cum laude from the Sapienza University of Rome. Between 2022 and 2023, I was a pre-doctoral research fellow at Yale University’s Department of Economics, and a visiting student at the Department of Mathematics. I am originally from Rome, Italy.
During the 2026/27 academic year, I will visit Columbia University (hosted by Andrea Prat) and MIT (hosted by Daron Acemoglu).
• Interlocking Directorates, Innovation, and Knowledge Transmission
This paper quantifies how shared board members at competing companies affect innovation. To account for persistent differences in board member ability, I introduce AKM-estimated board member fixed effects as controls in the analysis of interlocks and innovation, using the connectedness of the board member–firm network to separate board member heterogeneity from firm heterogeneity. I show that board interlocks are associated with higher innovative output, which is matched by a parallel increase in cross-citations between the two interlocked partners. However, I provide suggestive evidence that these innovation dynamics are more consistent with strategic patenting or patent monitoring rather than genuine technological learning as the dominant mechanism. This is because the composition of those cross-citations does not tilt toward newly reached partner patents, newly reached technology classes, or technologically close inventions. Rather, the stronger responses are concentrated in citations to partner patents that are older, more prominent, and not technologically proximate to the citing patent.
Presentations: Imperial College London, 2025 EARIE Summer School (Valencia, Spain), CMA-Durham Workshop on Productivity, Business Dynamism and Market Power (Durham, England, UK), 2025 European Winter Meeting of the Econometric Society (Nicosia, Cyprus), 2025 CEPR Paris Symposium (Paris, France)‡, 2026 North American Summer Meeting of the Econometric Society (Atlanta, Georgia, USA)*, 2026 Annual Conference of the Royal Economic Society (Newcastle, England, UK)*, 2026 EARIE (Mannheim, Germany)*
• Market Power, Venture Capital, and Technological Progress
Presentations: Imperial College London
• Partial Identification of AKM Models
Presentations: Imperial College London
• One-Size-Fits-Some: Insights from a Randomized COVID-19 Intervention
with Gabriella Conti and Pamela Giustinelli
Presentations: 2024 Workshop on the Economics of Pandemic Preparedness (Stockholm, Sweden)
‡ = poster, * = scheduled
Imperial College London (Teaching Assistant)
Math Camp (PhD), 2025
Business Economics (Executive MBA), 2024
Business Economics (BSc), 2023
UCL (Teaching Assistant)
Introductory Economics (BSc), 2021, 2022
The Discrete Game Identification Toolkit is a Python toolbox for analysing identification in static discrete games of incomplete information. It includes a replication and extension of Aguirregabiria & Mira (2019).