run by the Bank of Italy with administrative data on firm balance sheets and income statements. The resulting dataset … allows us to observe a long panel of managerial forecast errors for a sample of firms representative of the Italian economy …. We show that managerial forecast errors are <i>positively and significantly</i> autocorrelated. This persistence in …

run by the Bank of Italy with administrative data on firm balance sheets and income statements. The resulting dataset … allows us to observe a long panel of managerial forecast errors for a sample of firms representative of the Italian economy …. We show that managerial forecast errors are positively and significantly autocorrelated. This persistence in forecast …

run by the Bank of Italy with administrative data on firm balance sheets and income statements. The resulting dataset … allows us to observe a long panel of managerial forecast errors for a sample of firms representative of the Italian economy …. We show that managerial forecast errors are positively and significantly autocorrelated. This persistence in forecast …

Bank of Italy with administrative data on firms’ balance sheets and income statements. The resulting dataset allows us to … observe a long panel of managerial forecast errors for a representative sample of Italian firms with at least 20 employees. We … show that managerial forecast errors are positively and significantly autocorrelated. This persistence of forecast errors …

. First, we simulate different scenarios of economic growth depending on the course of the pandemic in Italy. Second, we … evaluate the forecast performance of the model for the period August 2020-March 2021. We find that taking epidemiological …