We estimate the effect of the introduction of the UK’s National Living Wage in 2016, and increases in it up to 2019, using a new empirical method. We apply a bunching approach to a setting with no geographical variation in minimum wage rates. We effectively compare employment changes in each...

We unbox developments in artificial intelligence (AI) to estimate how exposure to these developments affect firm-level labour demand, using detailed register data from Denmark, Portugal and Sweden over two decades. Based on data on AI capabilities and occupational work content, We develop and...

This paper introduces the AI Generated Index of Occupational Exposure (GENOE), a novel measure quantifying the potential impact of artificial intelligence on occupations and their associated tasks. Our methodology employs synthetic AI surveys, leveraging large language models to conduct...

Minimum wage is an important redistributive tool and an important element of the employment strategies and social policies for overcoming poverty and reducing inequality. Even though the social dimension of the minimum wage concept is unquestionable, it also provokes frequent debates and...

This paper studies the effects of the minimum wage on the life cycle of firms. We first build a tractable model where heterogeneous firms have labor market power, invest in innovation, and choose formal or informal sectors. The model predicts that a minimum wage hike not only shrinks young and...

This paper is the first to use program administrative data from Brazil's National Employment System (SINE) to assess the impact of SINE job interview referrals on labor market outcomes. Data for a five-year period (2012-2016) are used to evaluate the impact of SINE on employment probability,...