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Epidemic Trade

Authors: Lars Boerner; Battista Severgnini;
Abstract

This paper studies the spread of the Black Death as a proxy for the ow of medieval trade between 1346 and 1351. The Black Death struck most areas of Europe and the wider Mediter- ranean. Based on a modified version of the gravity model, we estimate the speed (in kilometers per day) of transmission of the disease between the transmitting and the receiving cities. We find that the speed depends on distance, political borders, and on the political importance of a city. Furthermore, variables related to the means of transportation like rivers and the sea, religious seasons such as Lent and Advent, and geographical position are of substantial significance. These results are the first to enable us to identify and quantify key variables of medieval trade ows based on an empirical trade model. These results shed new light on many qualitative debates on the importance and causes of medieval trade.

Country
United Kingdom
Keywords

Poisson pseudo maximum likelihood, Trade,Middle Ages,Black Death,Gravity model,Poisson regression, Black Death, Epidemie, Poisson regression, F10, Trade, trade; Black Death; gravity model; Poisson pseudo maximum likelihood; spatial regression discontinuity, Trade, Middle Ages, Black Death, Gravity model, Poisson regression, gravity model, N13, Gravity model, ddc:330, F15, 300 Sozialwissenschaften::330 Wirtschaft::337 Weltwirtschaft, spatial regression discontinuity, Außenhandelsgeschichte, Middle Ages, Gravitationsmodell, Europa, trade, Mittelalter, Schätzung, jel: jel:N0, jel: jel:F10, jel: jel:F15, jel: jel:N13

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Average
Green