IZA@LISER Network

Many small, home-based, childcare businesses participate in the Child and Adult Care Food Program (CACFP). This large but little-studied federal program provides fixed reimbursements for food costs to support nutrient-dense meals and snacks for young children in out-of-home care. We use unique, richly detailed administrative data and a policy reform that exogenously increased some providers’ reimbursements to estimate causal effects of CACFP on childcare services.

With the advent of generative artificial intelligence, prompting skills are becoming increasingly relevant in the workplace. Using a discrete choice experiment (DCE), we asked decision-makers on hiring in German firms in all sectors of the economy are asked to choose between job applicants with different skills bundles. Applicant profiles vary in five attributes: prompting skills, occupation-specific skills gaps, social skills, gender and salary expectations.

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We provide a first causal analysis of the behavioral consequences of the friendship paradox—the fact that people’s friends in a network have more connections than average. We find that people’s behavior is biased by their network position: they do not best respond to what they should infer the average behavior of the population to be, but instead simply to the average behavior of their friends.

How strongly do employer age preferences restrict the hiring of older workers? I study Austrian job postings, in which employers could openly state age limits until the practice was banned in 2004. Age limits were both widespread and strict: more than 30 percent of vacancies stated an upper age limit, and most caps were set between age 40 and 55.

Vietnam’s goal for high-income status by 2045 requires roughly 5.5% annual growth in income per capita, versus 5% historically. We offer thoughts on whether artificial intelligence (AI) can supply the missing margin. Reviewing the growing AI literature, we find that appropriate policies are instrumental.

We use birth records from the National Vital Statistics System to document the full age and parity fertility effects of the Colorado Family Planning Initiative (CFPI). Prior work has demonstrated effects on fertility at ages 15-29. We estimate the fertility effect of the CFPI for all age groups (15-44) and for first and non-first births using the synthetic control method.

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We use cookies to provide you with the best possible website experience. This includes cookies that are necessary for the operation of the site, as well as cookies used for anonymous statistics, comfort settings, or displaying personalized content. You can decide which categories you want to allow. Please note that depending on your settings, some features of the website may not be available. These necessary cookies are required to enable the core functionality of the website.

This article examines the economics of paid sick leave from both theoretical and empirical perspectives. Research on paid sick leave has evolved dynamically over the last decade, primarily driven by the spread of U.S. sick pay mandates, which have increased paid sick leave access from 63 percent to 77 percent in all U.S. jobs.