This article studies the role of rainfall in determining the education composition of Mexico-US migration. Emphasizing the relationship between rainfall and migration costs, a revised Roy model indicates that rainfall affects selection on education through not only households’ liquidity constraints but also the comparisons between changes in migration costs and wage differentials at different levels of education. With retrospective data on the migration history of male Mexicans, the empirical analysis shows that the inverted U-shaped relationship between migration probabilities and education is less dispersed with a higher vertex when rainfall decreases, suggesting higher migration costs and reinforced self-selection patterns. The impacts of rainfall on selection and education are stronger for the migrant stock than for migration flows. Studying how rainfall influences migrants’ return decisions provides consistent results.
Are there long-term labor consequences in migrating to the US during a recession? For most immigrants, credibly estimating this effect is difficult because of selective migration. Some immigrants may not move if economic conditions are not favorable. However, identification is possible for refugees as their arrival dates are exogenously determined through the US Refugee Resettlement program. A one percentage point increase in the arrival national unemployment rate reduces refugee wages by 1.98% and employment probability by 1.57 percentage points after 5 years.
In 2016, the Polish government introduced a large child benefit, called “Family 500+”, with the aim to increase fertility and reduce child poverty. It is universal for the second and every further child and means-tested for the first child. We study the impact of the new benefit on female labor supply, using Labor Force Survey data. Based on a difference-in-differences methodology, we find that the labor market participation rates of women with children decreased after the introduction of the benefit compared to that of childless women. The labor force participation rate of mothers showed a drop of 2–3 percentage points by mid-2017 as a result of the “Family 500+” program. The effect was higher among women with lower levels of education and among women living in small towns.
We present experimental evidence on the effects of entrepreneurship training for unemployed workers in the U.S. at two different stages in the business cycle. In the context of a strong economy, training helped training participants – particularly those with prior self-employment experience – to start a business and become self-employed, while it may have persuaded others to pursue salary employment instead. During the Great Recession, training helped training participants become self-employed, particularly those with no prior self-employment experience. Regardless of economic conditions, positive impacts on self-employment were partly or largely offset by reductions in regular employment. These findings indicate that entrepreneurship training may help unemployed workers to become self-employed at different stages of the business cycle, but there is weak evidence that it can be an effective policy for combating unemployment, particularly during recessions.
We address the presence, magnitude, and composition of wage gains related to former co-workers and discuss the mechanisms that could explain their existence. Using Hungarian linked employer–employee administrative data and proxying actual co-workership with overlapping work histories, we show that the overall wage gain attributable to former co-workers consists of multiple elements: a contact-specific, an individual-specific, a firm-specific and a match-specific component. Former co-workers, besides the direct effect of their presence, may funnel individuals into high-paying firms, enhance the sorting of good quality workers into firms, and may contribute to the creation of better employer–employee matches. By introducing and applying a wage-decomposition technique, we demonstrate that there are non-negligible differences between linked and market hires in all empirically separable wage elements. By focusing on specific scenarios, we provide additional empirical evidence in favor of employee referral and information transmission as the main drivers of co-worker gains.
This article seeks to explain the contradiction between the promises of welfare gains derived from the economic models recommending the removal of immigration restrictions and the realities experienced by countries attempting to apply restrictions to immigration flows. A formal model is built in which the strategic reaction of countries considers not only the benefits derived from migration but also the (economic and non-economic) costs that migration can generate in the host country. Strategic reactions drive what may be called the “paradox of adverse interest”: the fewer potential gains associated with liberalization of migration, the easier it becomes for nations to reach an unrestrictive agreement. The existence of two asymmetries (between the bargaining power of receiving and sending countries, and between the private nature of most of migration’s benefits and the social nature of its main costs) can hinder the agreement when the countries involved exhibit a high wage differential. Results suggest that permissive international agreements on migration are easier to reach in regional contexts, among countries with proximate economic conditions and levels of income.
We assess the effects of a sharp minimum wage increase on wages, informality, and employment in Turkey, a large developing economy with one of the highest minimum wage-to-average wage ratios among OECD countries and widespread discrepancies between labor market outcomes of women and of men. We look at the quasi-experimental 2016 minimum wage increase and pay attention to identifying information coming from demographic groups. We find that the increase in the minimum wage had an economically substantial and statistically significant positive impact on wages. Despite the positive wage effects of the increase, we find no negative employment effects. However, we show that the minimum wage increase may have caused an increase in the share of informal employment among workers with less than tertiary education, especially for such workers working for small firms.
This article sheds light on the dynamics of the Argentine labor market, using quarterly data from the Argentine Labor Force Survey for the period 2003Q3 to 2020Q1. We examine quarterly transition rates in a four-state model with formal employment, informal employment, unemployment, and nonparticipation. We compute the contribution of each transition rate to fluctuations in unemployment and informality rates. We identify five stylized facts: (i) Nearly 40% of the fluctuations in the unemployment rate involves unemployment ins and outs from/to informal jobs. (ii) More than 40% of the fluctuations in informality rate are driven by the variance of the formalization rate (transition from informal to formal employment). (iii) Non-participation matters for the understanding of unemployment volatility but also for the comprehension of the volatility on informality. (iv) Regarding gender differences: transition involving non-participation matters more in the variance of female unemployment and informality rates than for their male counterparts. (v) The informal sector plays an important role as a stepping stone to formal jobs for both men and women. Our article provides empirical targets to discipline theoretical modeling of labor market dynamics with a sizeable shadow economy.
The article analyzes and deals with the problems associated to exclusion of persons with disabilities from the workforce based on the impact it has in the context of economic and social dimensions, considering the fact that it results in high cost because of such exclusion. Specifically, it estimates the macroeconomic cost to the Spanish economy by modeling the incorporation of this collective into the job market. Varying types of inclusion are proposed, which are defined in terms of the different barriers that this collective encounters when attempting to access the job market. In this article, these barriers are divided between those that result from a labor gap and those that result from an education gap. The study then quantifies the macroeconomic benefits resulting from an increased participation of persons with disabilities in the workforce.
We examine whether there is any movement in the employment of native-educated nurses due to the influx of foreign-educated nurses. To avoid conflating the short- and long-term reactions to the entry of newly arrived foreign-educated nurses, we implement a multiple instrumentation procedure. We find that there is no significant effect of foreign-educated nurses on the employment of native nurses in both the short- and the long-runs. Our results suggest that relying on foreign-educated nurses to fill gaps in the US healthcare workforce does not harm the employment of native nurses.