Evidence-based policy making
IZA World of Labor is an online platform that provides policy analysts, journalists, academics and society generally with relevant and concise information on labor market issues. Based on the latest research, it provides current thinking on labor markets worldwide in a clear and accessible style. IZA World of Labor aims to support evidence-based policy making and increase awareness of labor market issues, including current concerns like the impact of Covid-19, and longer-term problems like inequality.
Environmental regulations and labor markets
Balancing the benefits of environmental regulations for everyone and the costs to workers and firms
Environmental regulations such as air quality standards can lead to notable improvements in ambient air quality and to related health benefits. But they impose additional production costs on firms and may reduce productivity, earnings, and employment, especially in sectors exposed to trade and intensive in labor and energy. Growing empirical evidence suggests that the benefits are likely to outweigh the costs.
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Innovation and employment in the era of artificial intelligence Updated
In the face of AI revolution, concerns about possible technological unemployment should be aware of the complex and mixed employment impacts of technological change.
Marco VivarelliGuillermo Arenas Díaz , March 2025The relationship between technology and employment has always been a source of concern, at least since the first industrial revolution. However, while process innovation can be job-destroying (provided that its direct labor-saving effect is not compensated through market mechanisms), product innovation can imply the emergence of new firms, new sectors, and thus new jobs (provided that its welfare effect dominates the crowding out of old products). Nowadays, the topic is even more relevant because the world economy is undergoing a new technological revolution centred on automation and the diffusion of Artificial Intelligence (AI).MoreLess -
Hiring discrimination across vulnerable groups
Discrimination in hiring based on ethnicity or gender is widely debated but appears in fact less severe than discrimination based on disability, appearance, or age
Over the past decades, academics worldwide have conducted experiments with fictitious job applications to measure discrimination in hiring. This discrimination leads to underutilization of labor market potential and higher unemployment rates for individuals from vulnerable groups. Collectively, the insights from the published research suggest that three groups face more discrimination than ethnic minorities: people with disabilities, less physically attractive people, and older people. The discrimination found in Western economies generally persists across countries and is stable over time, although some variation exists.
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Artificial intelligence and labor market outcomes
AI has created new jobs to meet digital and automation needs, and those equipped with AI capital enjoy increased employment and wages.
Nick Drydakis , February 2025Artificial intelligence (AI) has streamlined processes, improved workforce allocation, and created new jobs to meet the needs of digitalization and automation. Individuals with AI capital experience greater employment opportunities and higher wages, particularly in high-skilled roles and large firms. Training in AI helps reduce gender-based digital disparities, empowers individuals, and enhances their employability. Policymakers should promote inclusive AI development policies to prevent widening AI-related divides and unemployment, and to ensure equitable opportunities.MoreLess -
Anonymous job applications and hiring discrimination Updated
Blind recruitment can level the playing field in access to jobs but cannot prevent all forms of discrimination
Ulf Rinne , January 2025The 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, Finland 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.MoreLess
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Mar 27, 2025
How do future elites view inequality?
Study reveals Ivy League MBA students implement more unequal distributions than average Americans -
Mar 14, 2025
Would you read a story written by a machine?
Human authorship may matter less to you than you think -
Feb 24, 2025
Strategic Shift at DPS: Implications for IZA
Statement released by the Deutsche Post Foundation -
Feb 17, 2025
Award-winning research on the labor market impact of artificial intelligence
IRPPI Award honors the best IZA Discussion Paper on an AI-related topic published in 2024
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