This study examines the causal influence of digital technologies, specifically operational (ODT) and information digital technologies (IDT), on firms’ employment structure using Italian firm-level data. It employs a unique empirical approach, constructing instrumental variables based on...

Italy was among the first countries to introduce drastic measures to reduce mobility in order to prevent the diffusion of COVID-19. On March 9, 26 out of 111 provinces were subject to severe limitations on individual mobility between municipalities. One day later, new restrictive measures were...

Using a natural experiment induced by the COVID-19 pandemic, we test how the sudden absence of supporters at football games impacts the performance of players from minority groups in Italy. We find that African players, who are most commonly targeted by racial harassment, experience a...

This study investigates the recent trends in labour market power in Italy and assess-es the impact of a potential minimum wage using a large sample of manufacturing firms. We show that, despite an average shift of labour market power from the own-ers to the workers, monopsony power is still...

This paper proposes a novel method to estimate productivity and quality at the firm-product level, together with transformation function and demand parameters. The method relies on firm optimization conditions to obtain a one-to-one mapping between observed data and unobserved productivity and...

In this paper, we empirically assess whether the perceived implications of technological innovations on the probability of job loss vary according to the innovation-related strategies adopted by firms. We take advantage of a unique dataset based on a large and representative cross-sectional...