We extend the regional input-output model for the economic impact assessment of Covid-19 lockdowns in Italy proposed in Reissl et al. (2021) by incorporating the effects of changes in mobility on the level and composition of consumption demand. We estimate the model on sectoral data for 2020 and...

The unprecedented lockdown measures implemented by many countries in the wake of the COVID-19 pandemic have created a need for tools to assess their economic costs. For this purpose, we present a novel dynamic input-output modelling framework which we apply to an estimation of the economic...

The presence of negative values in the primary inputs vector in the input output framework has been considered as a limitation to the development of multi-sectoral linear models. It is true that, when this circumstance happens, the industries that are related appear unbalanced, however, the...

This paper develops the RAWS algorithm to estimate auxiliary tables of indirect taxes and margins related to the Brazilian input-output tables (IOTs) for 2000 and 2005. We derive RAWS by an information loss minimization problem, which explores the data structure from both the IOTs and supply and...

Asymmetric climate policies are expected to distort the level-playing field regarding international trade, singularly to the detriment of small open economies. The paper develops a flexible method that provides essential input regarding the design of offsetting measures. It builds on...

The exploration of the structural features and sectoral interdependences of and in an economy is fundamental for the understanding of its modes of functioning and of its transformations over time. Input-output analysis is largely used to fulfill this objective. Furthermore, information provided...