Capitalizing on a Crisis: A Computational Analysis of all Five Million British Firms During the Covid-19 Pandemic
Naomi Muggleton, Charles Rahal, Aaron Reeves

TL;DR
This study uses comprehensive UK firm and individual data to analyze who benefited from the Covid-19 crisis, revealing that existing corporate elites, mainly men aged 35-49 in London, capitalized on the pandemic, potentially increasing wealth inequality.
Contribution
It provides a novel, data-driven analysis of Covid-19 entrepreneurs using probabilistic algorithms and automated time series models on population-level administrative data.
Findings
Covid entrepreneurs were mainly men aged 35-49
Most entrepreneurs had prior business experience
Growth was concentrated in London industries
Abstract
The Covid-19 pandemic brought unprecedented changes to business ownership in the UK which affects a generation of entrepreneurs and their employees. Nonetheless, the impact remains poorly understood. This is because research on capital accumulation has typically lacked high-quality, individualized, population-level data. We overcome these barriers to examine who benefits from economic crises through a computationally orientated lens of firm creation. Leveraging a comprehensive cache of administrative data on every UK firm and all nine million people running them, combined with probabilistic algorithms, we conduct individual-level analyses to understand who became Covid entrepreneurs. Using these techniques, we explore characteristics of entrepreneurs--such as age, gender, region, business experience, and industry--which potentially predict Covid entrepreneurship. By employing an…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
