In this paper we use a large official employer-employee dataset, which includes almost the whole universe of business firms, to document and decompose the rising graduates postgraduates’ wage differentials in Portugal. Using a non-parametric matching exercise, we pay particular attention to...

In a world increasingly globalized, multiple language skills can create more employment opportunities. Several countries include language training programs in active labor market programs for the unemployed. We analyze the effects of a language training program on the re-employment probability...

We evaluate the impact of hiring subsidies for unemployed jobseekers in Wallonia, the Frenchspeaking region in the south of Belgium. The special feature of these subsidies is that they are more readily available for low-educated youths, who are eligible from registration as a jobseeker or a few...

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...

This study explores what determines employers' violations of the wage contracts of workers on H-1B temporary work visas, which occur when firms pay those workers below the promised prevailing or "market" wage. A theoretical framework is proposed that predicts more violations during economic...

We exploit an age-specific minimum wage rule - which sets a lower minimum wage for workers of age 15 than the adult minimum wage paid to workers of age 16 and above - and its abolition to estimate the causal effect of a minimum wage increase on youth employment and education in Turkey. Using a...

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...

Recent studies have proposed causal machine learning (CML) methods to estimate conditional average treatment effects (CATEs). In this study, I investigate whether CML methods add value compared to conventional CATE estimators by re-evaluating Connecticut's Jobs First welfare experiment. This...

Wages and productivity represent two of the most relevant variables to consider in economic development. Given the low productivity levels that emerging countries reveal, the accumulation of productive capabilities and a narrower dispersion across sectors would enable emerging countries to...

This paper considers the public and private sector wage earners in Egypt and examines their wage distribution during 1998-2012 using Egyptian Labor Market Panel Survey. We estimate the public-private sector wage gap with Mincer wage equations both at the mean and at different quantiles of the...