AIDS Treatment and Intrahousehold Resource Allocations: Children's Nutrition and Schooling in Kenya

The provision of life-saving antiretroviral (ARV) treatment has emerged as a key component of the global response to HIV/AIDS, but very little is known about the impact of this intervention on the welfare of children in the households of treated persons. We estimate the impact of ARV treatment on children’s schooling and nutrition outcomes using longitudinal household survey data collected in collaboration with a treatment program in western Kenya. We find that children’s weekly hours of school attendance increase by over 20 percent within six months after treatment is initiated for the adult household member. For boys in treatment households, these increases closely follow their reduced market labor supply. Similarly, young children’s short-term nutritional status—as measured by their weight-for-height Z-score—also improves dramatically. We argue that these treatment effects will be considerably larger when compared to the counterfactual scenario of no ARV treatment. The results provide evidence on how intrahousehold resource allocation is altered in response to significant health improvements. Since the improvements in children’s schooling and nutrition at these critical early ages will affect their socio-economic outcomes in adulthood, the widespread provision of ARV treatment is likely to generate significant long-run macroeconomic benefits.

The Impact of Pollution on Worker Productivity

Environmental protection is typically cast as a tax on the labor market and the economy in general. Since a large body of evidence links pollution with poor health, and health is an important part of human capital, efforts to reduce pollution could plausibly be viewed as an investment in human capital and thus a tool for promoting economic growth. While a handful of studies have documented the impacts of pollution on labor supply, this paper is the first to rigorously assess the less visible but likely more pervasive impacts on worker productivity. In particular, we exploit a novel panel dataset of daily farm worker output as recorded under piece rate contracts merged with data on environmental conditions to relate the plausibly exogenous daily variations in ozone with worker productivity. We find robust evidence that ozone levels well below federal air quality standards have a significant impact on productivity: a 10 ppb decrease in ozone concentrations increases worker productivity by 4.2 percent.

The Diffusion of Scientific Knowledge across Time and Space

This chapter discusses the consequences of academic mobility and the extent to which the movement of high-achieving faculty members affects both scientific and commercialization activities at their old and new schools. It looks at articles published by, and patents granted to, the mobile scientist before they departed for the new school, comparing these to similar outputs by scientists who did not move. The heterogeneity that can distort simpler comparisons can be limited. The analysis suggests that the citations to a departing scientist's articles from the university where he or she departs are barely affected by the move. However, citations to the departing scientist's patents (whether made in articles or patents) decline sharply at the originating school. This suggests that the physical proximity of the researcher is important to ensuring knowledge flows to industry. Citations to the scientist's work at his or her new location increase dramatically once the move is complete. Barriers to scientific mobility may actually be socially detrimental, as they prevent the kind of knowledge gains from the mixing of ideas. Keywords: diffusion; scientific knowledge; professional transitions; academic mobility; physical proximity; researche

Incentives and Creativity: Evidence from the Academic Life Sciences

Despite its presumed role as an engine of economic growth, we know surprisingly little about the drivers of scientific creativity. In this paper, we exploit key differences across funding streams within the academic life sciences to estimate the impact of incentives on the rate and direction of scientific exploration. Specifically, we study the careers of investigators of the Howard Hughes Medical Institute (HHMI), which tolerates early failure, rewards long-term success, and gives its appointees great freedom to experiment; and grantees from the National Institute of Health, which are subject to short review cycles, pre-defined deliverables, and renewal policies unforgiving of failure. Using a combination of propensity-score weighting and difference-in-differences estimation strategies, we find that HHMI investigators produce high- impact papers at a much higher rate than a control group of similarly-accomplished NIH-funded scientists. Moreover, the direction of their research changes in ways that suggest the program induces them to explore novel lines of inquiry.

Superstar Extinction

We estimate the magnitude of spillovers generated by 112 academic "superstars" who died pre- maturely and unexpectedly, thus providing an exogenous source of variation in the structure of their collaborators' coauthorship networks. Following the death of a superstar, we find that collaborators experience, on average, a lasting 5 to 8% decline in their quality-adjusted publication rates. By exploring interactions of the treatment effect with a variety of star, coauthor and star/coauthor dyad characteristics, we seek to adjudicate between plausible mechanisms that might explain this finding. Taken together, our results suggest that spillovers are circumscribed in idea space, but less so in physical or social space. In particular, superstar extinction reveals the boundaries of the scientific field to which the star contributes — the "invisible college."

The Diffusion of Scientific Knowledge Across Time and Space: Evidence from Professional Transitions for the Superstars of Medicine

Are scientific knowledge flows embodied in individuals, or "in the air"? To answer this question, we measure the effect of labor mobility in a sample of 9,483 elite academic life scientists on the citation trajectories associated with individual articles (resp. patents) published (resp. granted) before the scientist moved to a new institution. We find that article-to-article citations from the scientific community at the superstar's origin location are barely affected by their departure. In contrast, article-to-patent citations, and especially patent-to-patent citations, decline at the origin location following a star's departure, suggesting that spillovers from academia to industry are not completely disembodied. We also find that article-to-article citations at the superstar's destination location markedly increase after they move. Our results suggest that, to be realized, knowledge flows to industry may require more face-to-face interaction than those to academics. Moreover, to the extent that academic scientists do not internalize the effect of their location decisions on the circulation of ideas, our results raise the intriguing possibility that barriers to labor mobility in academic science limit the recombination of individual bits of knowledge, resulting in a suboptimal rate of scientific exploration.

Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules

We quantify the impact of scientific grant funding at the National Institutes of Health (NIH) on patenting by pharmaceutical and biotechnology firms. Our article makes two contributions. First, we use newly constructed bibliometric data to develop a method for flexibly linking specific grant expenditures to private-sector innovations. Second, we take advantage of idiosyncratic rigidities in the rules governing NIH peer review to generate exogenous variation in funding across research areas. Our results show that NIH funding spurs the development of private-sector patents: a $10 million boost in NIH funding leads to a net increase of 2.7 patents. Though valuing patents is difficult, we report a range of estimates for the private value of these patents using different approaches.National Science Foundation (U.S.) (Award SBE-0738142)National Institutes of Health (U.S.) (Grant P01-AG039347

Evolution of the One CGIAR’s research and innovation portfolio to 2030 : approaches, tools, and insights after the reform

In this perspective, we offer insights into the evolution of CGIAR’s research and innovation portfolio from 2019 to 2023, underpinning the transformative journey towards One CGIAR. With this contribution, we aim to strengthen the social and environmental sustainability components of allied, future Research for Development (R4D) portfolios. We explore three interlinked operational frameworks—Quality of Research for Development (QoR4D), Comparative Advantage (CA) Analysis, and Inclusive Innovation—and present practical tools and lessons for enhancing the quality and impact of R4D initiatives. This work is based on insights gained by the Independent Science for Development Council (ISDC) during the review of proposals for the current One CGIAR research portfolio. QoR4D’s four dimensions (relevance, scientific credibility, legitimacy, and effectiveness) guide research strategy, portfolio development, evaluation and performance standards, fostering intentional design and transparent assessment. CA Analysis leverages organisational strengths, facilitating purposeful partnerships, and strategic resource allocation. Inclusive Innovation emphasises stakeholder inclusivity, amplifying legitimacy, relevance, and effectiveness. Insights are drawn from the application of these frameworks, highlighting the importance of collaboration, the need for a mindset shift and institutional reform, specialisation, and impact maximisation. By adopting these lessons, CGIAR and allied organisations can collectively address global food system challenges more effectively, driving sustainable agricultural innovation and societal transformation. This article aims to contribute to advancing sustainable agriculture and underscores the significance of systemic collaborations in creating more resilient and equitable food systems.Publisher PDFPeer reviewe

Air quality and error quantity: pollution and performance in a high-skilled, quality-focused occupation

We provide the first evidence that short-term exposure to air pollution affects the work performance of a group of highly-skilled, quality-focused employees. We repeatedly observe the decision-making of individual professional baseball umpires, quasi-randomly assigned to varying air quality across time and space. Unique characteristics of this setting combined with high-frequency data disentangle effects of multiple pollutants and identify previously under-explored acute effects. We find a 1 ppm increase in 3-hour CO causes an 11.5% increase in the propensity of umpires to make incorrect calls and a 10 mg/m3 increase in 12-hour PM2.5 causes a 2.6% increase. We control carefully for a variety of potential confounders and results are supported by robustness and falsification checks