The month of July has been a productive one for my research agenda:
1) My long-in-the-making paper on the modernization of a French village in the 18th and 19th centuries, written with my PhD student Guillaume Blanc, is finally forthcoming in published form, at the excellent Explorations in Economic History. This is a very unusual paper for me, as it studies the modernization of a single village over a long period of time (I usually adopt a more macro - and more contemporary - approach to studying economic issues). We gathered very detailed data on individuals living in this village between 1730 and 1895, to trace out in great detail the sequencing of demographic, educational and economic change. A little known secret, not revealed in the paper, is that the village in question is the ancestral village of my mother. The oldest ancestor I can trace there was born around 1661. It was a lot of fun to work on this project over the last few years, as I was able to learn a lot not just on my own lineage but also on the context in which my ancestors lived, and the changes that they experienced over the generations.
2) My paper on the link between preferences for Trump and social capital is finally presentable, and has been submitted to a journal. WIth my colleague and coauthor Paola Giuliano, we argue that locations that have lower social capital tended to support Trump to a greater degree in the 2016 election. It is a straightforward paper, but if you believe our result, it suggests that one way out of the populist wave is to work to rebuild civil society. Easier said than done, especially in times of social isolation and impersonal social media.
3) My new paper with Klaus Desmet on spatial variation in COVID-19 severity across counties of the United States has been revised, and submitted to a journal. In this paper, we show that there are vast and persistent differences in disease severity across the US, identify the factors that explain this variation, and suggest that public policies should be tailored to local circumstances. We also show that counties favorable to Trump in 2016 experience lower disease severity, but that this association disappears when controlling for factors like population density and racial composition that are associated with both Trump support and disease severity. Once accounting for these factors, Trump-leaning counties actually have worse disease severity - perhaps because the policies they put in place or the behaviors their inhabitants adopted to fight COVID were less aggressive than in other areas.