Performance of migrants

The use of anonymous job applications (or blind recruitment) to combat hiring discrimination is gaining attention and interest. Results from field experiments and pilot projects in European countries (France, Germany, the Netherlands, and Sweden are considered here), Canada, and Australia shed light on their potential to reduce some of the discriminatory barriers to hiring for minority and other disadvantaged groups. But although this approach can achieve its primary aims, there are also important cautions to consider.

What is the role of married women in immigrant households? Their contribution to the labor market has traditionally been considered of secondary importance and studied in the framework of temporary attachment to the labor force to support the household around the time of arrival. But this role has changed. Evidence from major immigrant-receiving countries suggests that married immigrant women make labor supply decisions similar to those recently observed for native-born married women, who are guided by their own opportunities in the labor market rather than by their spouses’ employment trajectories.

Immigrants contribute to the economic development of the host country, but they earn less at entry and it takes many years for them to achieve parity of income. For some immigrant groups, the wage gap never closes. There is a wide variation across countries in the entry wage gap and the speed of wage assimilation over time. Wage assimilation is affected by year of entry, immigrant skill, ethnicity, and gender. Policies that facilitate assimilation of immigrant workers provide support for education, language, and employment. Such policies can also reduce barriers to entry, encourage naturalization, and target selection of immigrants.

Upon arrival in a host country, immigrants often have lower obesity rates (as measured for instance by BMI—body mass index) than their native counterparts do, but these rates converge over time. In light of the worldwide obesity epidemic and the flow of immigrants into host countries with higher obesity rates, it is important to understand the consequences of such assimilation. Policymakers could benefit from a discussion of the impact of immigrant obesity on labor market outcomes and the use of public services. In particular, policies could find ways to improve immigrants’ access to health care for both the prevention and treatment of obesity.

Immigration is one of the most important policy debates in Western countries. However, one aspect of the debate is often mischaracterized by accusations that higher levels of immigration lead to higher levels of crime. The evidence, based on empirical studies of many countries, indicates that there is no simple link between immigration and crime, but legalizing the status of immigrants has beneficial effects on crime rates. Crucially, the evidence points to substantial differences in the impact on property crime, depending on the labor market opportunities of immigrant groups.

Discrimination is a complex, multi-factor phenomenon. Evidence shows widespread discrimination on various grounds, including ethnic origin, sexual orientation, gender identity, religion or beliefs, disability, being over 55 years old, or being a woman. Combating discrimination requires combining the strengths of a range of anti-discrimination policies while also addressing their weaknesses. In particular, policymakers should thoroughly address prejudice (taste-based discrimination), stereotypes (statistical discrimination), cognitive biases, and attention-based discrimination.

Immigrants are typically not evenly distributed within host countries; instead they tend to cluster in particular neighborhoods. But does clustering in ethnic enclaves help explain the persistent differences in employment rates and earnings between immigrants and the native population? Empirical studies consistently find that residing in an enclave can increase earnings. While it is still ambiguous whether mainly low-skilled immigrants benefit, or whether employment probabilities are affected, it is clear that effects are driven by enclave “quality” (in terms of income, education, and employment rates) rather than enclave size.