Fabio Vanni and David Lambert

Author Archive | Fabio Vanni and David Lambert

working_paper_2021_48

On the regularity of human mobility patterns at times of a pandemic

The study of human mobility patterns is a crucially important research field for its impact on several socio-economic aspects and, in particular, the measure of regularity patters of human mobility can provide a across-the-board view of many social distancing variables in epidemics such as: human movement trends, physical interpersonal distances and population density. We will […]

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On the economic and health impact of the COVID-19 shock on Italian regions: A value chain approach

On the economic and health impact of the COVID-19 shock on Italian regions: A value chain approach

In this work, we evaluate the exposure of Italian regions to the risk associated with the spread of COVID-19 through a two-step value chain approach. First, we estimate the degree of participation of Italian regions in a plurality of value chains linked to consumption, investment and exports. We distinguish between value chains aimed at satisfying […]

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working_paper_2020_44

Assessing the Economic Impact of Lockdowns in Italy: A Computational Input-Output Approach

We build a novel computational input-output model to estimate the economic impact of lockdowns in Italy. The key advantage of our framework is to integrate the regional and sectoral dimensions of economic production in a very parsimonious numerical simulation framework. Lockdowns are treated as shocks to available labor supply and they are calibrated on regional […]

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Epidemic response to physical distancing policies and their impact on the outbreak risk

We introduce a theoretical framework that highlights the impact of physical distancing variables such as human mobility and physical proximity on the evolution of epidemics and, crucially, on the reproduction number. In particular, in response to the coronavirus disease (CoViD-19) pandemic, countries have introduced various levels of ’lockdown’ to reduce the number of new infections. […]

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