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...

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...

We examine the impact of changes in local labor market concentration on two components of income inequality in Mexico: local wage shares and labor income inequality. Combining data from the Economic Census and the Population and Housing Censuses, we analyze the mechanisms that drive the...

This paper looks at the gender wage gap throughout the transition from communism to capitalism and throughout a time of rapid economic convergence. The case of Estonia is used, and micro data from the Labour Force Survey from 1989 to 2020 are employed. The communist regimes had highly regulated...

We develop a tractable equilibrium model of the labour market, featuring heterogeneous labour supply elasticities across occupations that can be estimated in a baseline period using observed worker flows. We use this model to study the heterogeneous impact of subsequent demand shifts on wages...

This paper investigates whether the diffusion of tangible IT and CT capital and intangible capital asset types has an impact on labour demand growth and the share of labour income in total income at the industry and country level. The econometric analysis is derived from a Cobb-Douglas...

As governments worldwide increase their commitments to tackling climate change, the number of low-carbon jobs are expected to grow rapidly. Here we provide evidence on the characteristics of low-carbon jobs in the US using comprehensive online job postings data between 2010-2019. By accurately...