Local labour market concentration may influence firms' employment responses to minimum wages. We evaluate this hypothesis using comprehensive 1998-2007 data on China's manufacturing sector and about 1,400 hand-collected county-level minimum wages. We find that, consistently with monopsony views,...

This study examines the influence of the statutory minimum wage on labor demand elasticities regarding low-skilled workers. For this, a regression discontinuity analysis is conducted using company panel data from 2013 to 2018. In addition, a possible endogeneity of the remuneration for...

This paper analyzes the role of Uruguay's sharp minimum wage increases after 2004 amidst the country's slight wage inequality decrease. We found that the minimum wage increase has contributed to the reduction of wage inequality for formal workers mainly. However, we also found a negative impact...

In this study, we examine the impact of minimum wages in Vietnam using individual-level data from the 2012-2020 annual Labor Force Surveys. During this period, the average real minimum wage increased by around 4% per year. Overall, we do not find significant effects from minimum wages on...

While FTA negotiations are proliferating, our paper shows that targeting the appropriate sector is crucial for generating employment opportunities subsequent to FTA. In particular, we show that, countering conventional wisdom, targeting skill-biased exports and not the sector that employs...

The paper explores the labor market effect of minimum wage legislations in the informal sector for a developing country. The paper conducts an impact evaluation of the minimum wage legislation for domestic workers introduced in four states in India over the period of 2004-2012. Combining...

We present a meta-analysis on the debate about the "stepping stone vs. dead end" hypothesis related to the causal effect of temporary jobs on future labour market performances. We select academic papers published on international peer-reviewed journals from 1990 until 2021. Among 78 observations...

Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that...