Inequality, Productivity, and Child Labor: Theory and Evidence

A recent theoretical literature has linked reductions in income inequality to reductions in child labor in countries that are relatively well-off, but has not explored how income distribution affects child labor in very poor countries. We show that while in higher-productivity countries with child labor, a more equal income distribution will reduce or eliminate child labor, in low productivity countries, a more equal distribution of income will exacerbate child labor. Econometric specifications studying child labor among 10- to-14 year olds yield results generally consistent with these predictions. Policy actions that aim to bring about more equality so as to reduce child labor will likely not have the desired effect unless a country in which they are taken is sufficiently wealthy.

Slave Redemption When it Takes Time to Redeem Slaves

We analyze slave redemption programs—the buying of slaves to give them their freedom--in a simple matching model, i.e., under the assumption that it takes time to find slaves to buy or sell. Unlike in a supply and demand framework, where sufficiently large and effective redemption programs must lead to an increase in the price at which slaves are exchanged, we find that such programs do not necessarily raise the price of slaves. We also use the model to explain why a slave redemption program can slow the flow of people into the actual state of slavery, but at the same time can increase the number of people captured to be slaves. We present contemporary examples to suggest that the weight that should be assigned to costs inflicted on the extra captured people, versus the benefits enjoyed by those redeemed, depends critically on the nature of the experience at, and just after, capture.slavery, matching models

A Theory of Exploitative Child Labor

Child labor laws should aim to protect children who work, instead of trying to remove children from work. In this paper, we identify an instance when the risk of exploitation lowers the expected bene…t of child labor to the child,and therefore suppresses child labor force participation. Targeted legal intervention that lowers or removes the risk of exploitation raises child participation in the labor market, child welfare, and overall societal welfare. Targeting on child labor more broadly may reduce child labor force participation, child welfare, and overall societal welfare. Our key assumptions for generating these results are that parents decide for each child based on their child's best interest, that parents face imperfect information about the risks their children confront upon entering the labor market, and that firms may choose to exploit this information imperfection by employing children under forced-labor-type conditions.child labor, exploitation

A Theory of Exploitative Child Labor

We develop a model of exploitative child labor with two key features: first, parents have imperfect information about whether employment opportunities available to their children are exploitative or not. Second, firms choose whether or not to exploit their child workers. In our model, a ban on exploitative child labor is desirable, because it resolves the problem of imperfect information faced by parents, and therefore leads to Pareto efficiency. We also find that a ban leads to an increase in the wages of child workers, and that firm profits, even for firms that do not exploit child workers, fall. Finally, a ban has ambiguous effects at the macroeconomic level: aggregate child employment and aggregate output can rise or fall.child labor, economic exploitation

Does Child Labor Decrease When Parental Incomes Rises

In the presence of two-sided altruism, i.e., when parents and children care about each other's utility, increases in parental income need not always lead to increases in schooling and to decreases in child labor. This surprising result derives from the systematic way capital market constraints bind as parental income rises: child labor increases as soon as parental income rises by enough to eliminate transfers from children to parents.

A Theory of Exploitative Child Labor

We develop a model of exploitative child labor with two key features: first, parents have imperfect information about whether employment opportunities available to their children are exploitative or not. Second, firms choose whether or not to exploit their child workers. In our model, a ban on exploitative child labor is desirable, because it resolves the problem of imperfect information faced by parents, and therefore leads to Pareto efficiency. We also find that a ban leads to an increase in the wages of child workers, and that firm profits, even for firms that do not exploit child workers, fall. Finally, a ban has ambiguous effects at the macroeconomic level: aggregate child employment and aggregate output can rise or fall.

Age and lifecycle patterns driving U.S. migration shifts

Migration—people moving between locations—is now driving much of the demographic change occurring in the United States. In this brief, authors Kenneth Johnson, Richelle Winkler, and Luke Rogers share new research on age-related migration patterns to provide a fuller understanding of the complex patterns of demographic change in the United States. Examining four migration age groups, including emerging adults, young adults, family age, and older adults, their analysis of trends over time shows evidence that certain age groups migrate in similar ways. For example, young adult migrants are flowing to large metropolitan areas, while family age migrants are leaving large urban cores for the suburbs. Major metro areas in the Northeast and Midwest are losing older migrants, and rural farm counties continue to lose young adults. The authors explore how these migration patterns have important implications for people, institutions, and communities of both rural and urban America, as well as for the design of policies and practices that foster the development of sustainable communities

The Increasing Diversity of America\u27s Youth

This brief documents how unfolding demographic forces have placed today’s children and youth at the forefront of America’s new racial and ethnic diversity. Authors Kenneth M. Johnson, Andrew Schaefer, Daniel T. Lichter, and Luke T. Rogers discuss how the rapidly changing racial and ethnic composition of the youth population has important implications for intergroup relations, ethnic identities, and electoral politics. They report that diversity is increasing among America’s youth because there are more minority children and fewer non-Hispanic white children. Minority births exceeded non-Hispanic white births for the first time in U.S. history in 2011 according to Census Bureau estimates. Both the declining number of non-Hispanic white women of prime child-bearing and growing numbers of minority women contributed to this change as did differential fertility rates. The largest gains in child diversity between 2000 and 2012 were in suburban and smaller metropolitan areas. Yet, child diversity is geographically uneven, with minimal diversity in some areas of the country and significant diversity in other areas. They conclude that natural population increase—particularly fertility rates—will continue to reshape the racial and ethnic mix of the country, and this change will be reflected first among the nation’s youngest residents

Vascular health, diabetes, APOE and dementia: the Aging, Demographics, and Memory Study.

INTRODUCTION: Evidence from clinical samples and geographically limited population studies suggests that vascular health, diabetes and apolipoprotein epsilon4 (APOE) are associated with dementia. METHODS: A population-based sample of 856 individuals aged 71 years or older from all contiguous regions of the United States received an extensive in-home clinical and neuropsychological assessment in 2001-2003. The relation of hypertension, diabetes, heart disease, stroke, medication usage, and APOE epsilon4 to dementia was modelled using adjusted multivariable logistic regression. RESULTS: Treated stroke (odds ratio [OR] 3.8, 95% confidence interval [CI] 2.0, 7.2), untreated stroke (OR 3.5, 95% CI 1.7, 7.3), and APOE epsilon4 (OR 2.8, 95% CI 1.7, 4.5) all increased the odds of dementia. Treated hypertension was associated with lower odds of dementia (OR 0.5, 95% CI 0.3, 1.0). Diabetes and heart disease were not significantly associated with dementia. A significant interaction was observed between APOE epsilon4 and stroke (P = 0.001). CONCLUSIONS: Data from the first dementia study that is representative of the United States population suggest that stroke, the APOE epsilon4 allele and their interaction are strongly associated with dementia

Characterization of wild and captive baboon gut microbiota and their antibiotic resistomes

Antibiotic exposure results in acute and persistent shifts in the composition and function of microbial communities associated with vertebrate hosts. However, little is known about the state of these communities in the era before the widespread introduction of antibiotics into clinical and agricultural practice. We characterized the fecal microbiota and antibiotic resistomes of wild and captive baboon populations to understand the effect of human exposure and to understand how the primate microbiota may have been altered during the antibiotic era. We used culture-independent and bioinformatics methods to identify functional resistance genes in the guts of wild and captive baboons and show that exposure to humans is associated with changes in microbiota composition and resistome expansion compared to wild baboon groups. Our results suggest that captivity and lifestyle changes associated with human contact can lead to marked changes in the ecology of primate gut communities.Environmental microbes have harbored the capacity for antibiotic production for millions of years, spanning the evolution of humans and other vertebrates. However, the industrial-scale use of antibiotics in clinical and agricultural practice over the past century has led to a substantial increase in exposure of these agents to human and environmental microbiota. This perturbation is predicted to alter the ecology of microbial communities and to promote the evolution and transfer of antibiotic resistance (AR) genes. We studied wild and captive baboon populations to understand the effects of exposure to humans and human activities (e.g., antibiotic therapy) on the composition of the primate fecal microbiota and the antibiotic-resistant genes that it collectively harbors (the “resistome”). Using a culture-independent metagenomic approach, we identified functional antibiotic resistance genes in the gut microbiota of wild and captive baboon groups and saw marked variation in microbiota architecture and resistomes across habitats and lifeways. Our results support the view that antibiotic resistance is an ancient feature of gut microbial communities and that sharing habitats with humans may have important effects on the structure and function of the primate microbiota