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Micronutrient powder (MNP) can reduce iron deficiency in young children, which has been well established in efficacy trials. However, the cost of different delivery platforms has not been determined. We calculated the cost and cost‐efficiency of distributed MNP through community‐based mechanisms and in health facilities in a primarily rural district in Uganda. An endline survey (n = 1072) identified reach and adherence. During the 9‐month pilot, 37,458 (community platform) and 12,390 (facility platform) packets of MNP were distributed. Each packet consisted of 30 MNP sachets. In 2016, total costs were $277,082 (community platform, $0.24/sachet) and $221,568 (facility platform, $0.59/sachet). The cost per child reached was lower in the community platform ($53.24) than the facility platform ($65.97). The cost per child adhering to a protocol was $58.08 (community platform) and $72.69 (facility platform). The estimated cost of scaling up the community platform pilot to the district level over 3 years to cover approximately 17,890 children was $1.23 million (scale‐up integrated into a partner agency program) to $1.62 million (government scale‐up scenario). Unlike previous estimates, these included opportunity costs. Community‐based MNP delivery costs were greater, yet more cost‐efficient per child reached and adhering to protocol than facility‐based delivery. However, total costs for untargeted MNP delivery under program settings are potentially prohibitive., This study estimates costs based on programmatic elements using two delivery platforms in a single rural site in Uganda: (1) delivery by community health workers (community‐based platform) and (2) delivery using facility‐based health providers (facility‐based platform). We calculated the cost of micronutrient powders (MNP) provision from start‐up to the “last mile”— the final leg in product and service delivery when MNP reaches beneficiaries. We compared costs and cost‐efficiency across delivery platforms using several indicators of outcomes and estimated the costs of scaling up, extending the pilot program, and integrating MNP delivery activities into existing infant and young child feeding programs.

Academic and policy literatures on intergenerational transmissions of poverty and inequality suggest that improving schooling attainment and income for parents in poor households will lessen poverty and inequality in their children's generation through increased human capital accumulated by their children. However, magnitudes of such effects are unknown. We use data on children born in the 21st century in four developing countries to simulate how changes in parents’ schooling attainment and consumption would affect poverty and inequality in both the parent's and their children's generations. We find that increasing minimum schooling or income substantially reduces poverty and inequality in the parent's generation, but does not carry over to reducing poverty and inequality substantially in the children's generation. Therefore, while reductions in poverty and inequality in the parents’ generation are desirable in themselves to improve welfare among current adults, they are not likely to have large impacts in reducing poverty and particularly in reducing inequality in human capital in the next generation.

This paper models health insurance choice in Chile (public versus private) as a dynamic, stochastic process, where individuals consider premiums, expected out-of pocket costs, personal characteristics and preferences. Insurance amenities and restrictions against pre-existing conditions among private insurers introduce asymmetry to the model. We confirm that the public system services a less healthy and wealthy population (adverse selection for public insurance). Simulation of choices over time predicts a slight crowding out of private insurance only for the most pessimistic scenario in terms of population aging and the evolution of education. Eliminating the restrictions on pre-existing conditions would slightly ameliorate the level (but not the trend) of the disproportionate accumulation of less healthy individuals in the public insurance program over time.

Using a multinomial logit model with data from the Survey of Income and Program Participation, this paper tests whether the implementation of the Family and Medical Leave Act (FMLA) is associated with an increase in return to work at part-time status among first-time mothers working full-time during their pregnancy. I find a statistically significant trend of increasingly higher odds of returning to work at part-time status relative to return at full-time status, beginning in 1993 (the year in which the FMLA is implemented). Furthermore, an additional week of either state or federal leave is significantly associated with a higher odds of return at part-time status. This article provides evidence that job protection and leave legislation may help facilitate higher levels of labor force participation among women with small children, through more flexible work arrangements.

Recent research has demonstrated some growth recovery among children stunted in infancy. Less is known about key age ranges for such growth recovery, and what factors are correlates with this growth. This study characterized child growth up to age 1 year, and from ages 1 to 5 and 5 to 8 years controlling for initial height-for-age z-score (HAZ), and identified key distal household and community factors associated with these growth measures using longitudinal data on 7266 children in the Young Lives (YL) study in Ethiopia, India, Peru and Vietnam. HAZ at about age 1 year and age in months predicted much of the variation in HAZ at age 5 years, but 40–71% was not predicted. Similarly, HAZ at age 5 years and age in months did not predict 26–47% of variation in HAZ at 8 years. Multiple regression analysis suggests that parental schooling, consumption, and mothers' height are key correlates of HAZ at about age 1 and also are associated with unpredicted change in HAZ from ages 1 to 5 and 5 to 8 years, given initial HAZ. These results underline the importance of a child's starting point in infancy in determining his or her growth, point to key distal household and community factors that may determine early growth in early life and subsequent growth recovery and growth failure, and indicate that these factors vary some by country, urban/rural designation, and child sex.