Sectoral Effects of Social Distancing

By Jean-Noël Barrot, B. Grassi, Julien Sauvagnat. AEA Papers and Proceedings, 2020

212 citations recorded by the source corpus.

The outbreak of the COVID-19 virus has led many states to take the drastic measures of social distancing. Using US executive order, occupation, and survey data, we measure the fall in labor supply due to these measures. Starting from a model of production networks, we analyze the sectoral effects of these labor shocks for the United States. We find that nonlinearities in the production network account for around half of the drop in GDP associated to the implementation of social distancing measures. The model also generates realistic dispersion in sectoral output change.

Subfields: Economics and Econometrics, General Health Professions

View Paper: https://www.semanticscholar.org/paper/f276b7e29270a5f957c77e98ce7931d03f23c484

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Citations in the corpus

Working from home across countries (2020, background): “The ability to work from home (WFH) has been measured for the United States (Dingel and Neiman, 2020a, henceforth DN) and for a set of European countries (Barrot et al., 2020; Boeri et al., 2020). These authors have found that around 40% of jobs could potentially be carried out from home.2 Evidence ”
Job search during the COVID-19 crisis (2020, background): “While the shock has a negative impact on 16Barrot et al. (2020) analyze the impact of social-distancing rules on GDP in France, when taking sectoral interdependencies into account.”
COVID‐19 and Supply Chain Disruption: Evidence from Food Markets in India† (2020, background): “Consequently, an essential question for pub- lic policy is to measure the level of these disruptions and where they are more likely to occur (Inoue and Todo 2020 and Barrot, Grassi, and Sauvagnat 2020).”
Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study (2020, background): “Although lockdowns may help countries to keep the number of infections under control [2], they come at a great social and economic cost [3-6].”
Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective (2020, background): “Another study by Barrot et al. (2020) estimates industry level shocks by considering the list of essential industries, the closure of schools, and an estimate of the ability to work from home (based on ICT use surveys); Using these shocks in a multisector input-output model, they find that six weeks”
Employment impact of Covid-19 crisis: from short term effects to long terms prospects (2020, methodology): “Barrot et al. (2020), using data from France, show that the decrease in employment caused by social distancing measures is the highest in hotel and restaurants; arts and leisure; agriculture; service activities; food; wholesale and retail and construction, and the lowest in computer services; teleco”