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Assessing the economic impact of lockdowns in Italy: a computational input-output approach

Abstract : 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 and sectoral employment data coupled with the prescriptions of government decrees. We show that when estimated on data from the first “hard” lockdown, our model closely reproduces the observed economic dynamics during spring 2020. In addition, we show that the model delivers a good out-of-sample forecasting performance. We also analyze the effects of the second “mild” lockdown in fall of 2020 which delivered a much more moderate negative impact on production compared to both the spring 2020 lockdown and to a hypothetical second “hard” lockdown.
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Preprints, Working Papers, ...
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https://hal-sciencespo.archives-ouvertes.fr/hal-03373672
Contributor : Élisabeth Wolff-Maussion Connect in order to contact the contributor
Submitted on : Monday, October 11, 2021 - 3:53:07 PM
Last modification on : Thursday, October 14, 2021 - 3:31:31 AM

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OFCEWP2021-11.pdf
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  • HAL Id : hal-03373672, version 1

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Severin Reissl, Alessandro Caiani, Francesco Lamperti, Mattia Guerini, Fabio Vanni, et al.. Assessing the economic impact of lockdowns in Italy: a computational input-output approach. 2021. ⟨hal-03373672⟩

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