Intergenerational mobility in the very long run: Florence 1427–2011
Descripción general
Resumen del artículo
This paper investigates intergenerational socioeconomic mobility in Florence over six centuries using surname-based pseudo-links from tax records (1427 and 2011). It reveals that mobility was surprisingly low in pre-industrial Florence, with significant persistence in both earnings and wealth across generations, particularly in elite occupations. The findings suggest that social status can be highly persistent over very long periods, with a slower convergence of initial statuses than often estimated.
Explícamelo como si tuviera cinco años
By looking at surnames in Florence from 1427 to today, this study found that if your family was rich or powerful hundreds of years ago, you're more likely to be doing well now, showing status can stick around for a very, very long time.
Posibles conflictos de intereses
Authors Guglielmo Barone and Sauro Mocetti are affiliated with the Bank of Italy. The paper extensively uses tax records and discusses economic mobility and inequality. While this is a historical economic study and not directly influencing current policy, working for a central bank on a topic involving economic data and societal stratification represents a potential (though likely academic and not nefarious) conflict of interest due to institutional affiliation and access to data/influence on economic narratives.
Limitaciones identificadas
Explicación de la calificación
This is a strong historical economic study utilizing a unique, very long-run dataset (600+ years) to investigate intergenerational mobility. The methodology, while innovative, involves known limitations of surname-grouped estimators and potential selection biases. However, the authors are diligent in acknowledging these weaknesses and performing extensive robustness checks. The findings on persistent social status in pre-industrial Florence are compelling and contribute meaningfully to economic history, making it a valuable contribution despite its inherent challenges.
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