This paper studies whether labor market mismatch played an important role for labor market dynamics during the COVID-19 pandemic. We apply the framework of S¸ahin et al. (2014) to the US and the UK to measure misallocation between job seekers and vacancies across sectors until the third quarter...

This paper investigates whether the COVID-19 recession led to an increase in demand for digital occupations in the United States. Using O*NET to capture the digital content of occupations, we find that regions that were hit harder by the COVID-19 recession experienced a larger increase in the...

Despite its low unemployment rate, the recent shift in the Japanese Beveridge curveindicates increased labor mismatch. This paper quantifies the age, employment-type (fullor part-time), and occupational mismatch in the Japanese labor market following Sahinand others (2013). Between April 2000...

COVID-19 has exacerbated concerns about the rise of the robots and other automation technologies. This paper analyzes empirically the impact of past major pandemics on robot adoption and inequality. First, we find that pandemic events accelerate robot adoption, especially when the health impact...

The paper explains how a country can fall into a quot;low-skill, bad-job trap,quot; in which workers acquire insufficient training and firms provide insufficient skilled vacancies. In particular, the paper argues that in countries where a large proportion of the workforce is unskilled, firms...

This paper develops a labour market matching model in order to address the problem of the persistence of the hidden sector and of its regional concentration, as in Italy and in the enlarged Europe. The main novel features of the model are that entrepreneurial ability affects job productivity,...

Relying on the non-negligible role played by the underground economy in the labour market fluctuations, this paper extends the standard matching model à la Mortensen-Pissarides by introducing an underground sector along with an endogenous sector choice for both entrepreneurs and workers. These...

The present study is based on 5208 observations, which is comprised of participant households of microcredit programs, non-participant households of program villages as well as non-participant households from control villages. We found that among the participant households 37% depend on wage as...

Using individual-level data for 30 European countries between 1983 and 2019, we document the extent and earning consequences of workers’ reallocation across occupations and industries and how these outcomes vary with individual-level characteristics, namely (i) education, (ii) gender, and...

We use the novel anonymized Household Labour Force Survey (HLFS) microdata to analyze job finding rates and job separation rates in New Zealand. We find that individual characteristics, including age, gender, ethnicity and education have a significant impact on job finding and separation rates,...