Evidence-based policy making

In today's globalized world, people are increasingly mobile and often need to communicate across different languages. Learning a new language is an investment in human capital. Migrants must learn the language of their destination country, but even non-migrants must often learn other languages if their work involves communicating with foreigners. Economic studies have shown that fluency in a dominant language is important to economic success and increases economic efficiency. However, maintaining linguistic diversity also has value since language is also an expression of people's culture.

Higher labor costs (higher wage rates and employee benefits) make workers better off, but they can reduce companies’ profits, the number of jobs, and the hours each person works. The minimum wage, overtime pay, payroll taxes, and hiring subsidies are just a few of the policies that affect labor costs. Policies that increase labor costs can substantially affect both employment and hours, in individual companies as well as in the overall economy.

Statistical models can help public employment services to identify factors associated with long-term unemployment and to identify at-risk groups. Such profiling models will likely become more prominent as increasing availability of big data combined with new machine learning techniques improve their predictive power. However, to achieve the best results, a continuous dialogue between data analysts, policymakers, and case workers is key. Indeed, when developing and implementing such tools, normative decisions are required. Profiling practices can misclassify many individuals, and they can reinforce but also prevent existing patterns of discrimination.

Anti-discrimination policies play an important role in public discussions. However, identifying discriminatory practices in the labor market is not an easy task. Correspondence testing provides a credible way to reveal discrimination in hiring and provide hard facts for policies, and it has provided evidence of discrimination in hiring across almost all continents except Africa. The method involves sending matched pairs of identical job applications to employers posting jobs—the only difference being a characteristic that signals membership to a group.