In addition to the most pressing issues of the day, scholars at the Freeman Spogli Institute for International Studies focus their research on many regions of the world, from Beijing to Brazil.
Research Spotlight
The Ripple Effects of China’s College Expansion on American Universities
Researchers at SCCEI trace how China’s unprecedented expansion of higher education has impacted U.S. graduate education and local economies surrounding college towns.
While Nayib Bukele's style of authoritarianism may have some successes on paper, Beatriz Magaloni and Alberto Diaz-Cayeros argue that the regime is headed for a reckoning.
Time for Iran to Make a No-enrichment Nuclear Deal
The time has come for Iran’s leaders to reconsider their past intransigent, deceptive posture and instead pursue a nuclear power program that will benefit the Iranian people, write Abbas Milani and Siegfried Hecker.
Background
High adherence and proper usage of micronutrient powder (MNP) influence child nutritional outcomes, yet few studies explore the role of delivery patterns. This study explores the association between MNP delivery patterns and MNP feeding behaviors among Han and minority caregivers in rural Western China.
Methods
In August 2019, a total of 1021 caregiver-child pairs were selected through a four-stage cluster sampling process. A cross-sectional survey collected information on caregiver demographics, MNP delivery patterns (channel and frequency), and MNP feeding behaviors (proper usage and adherence). Using logistic regression, we examined which delivery channels and delivery frequencies were associated with proper usage and high adherence.
Results
The results indicated that minority caregivers had lower levels of proper MNP usage than did Han caregivers (89.2%), with Tibetan caregivers’ reporting the lowest rates of adherence (32.6%). Logistic regression revealed that that township-based channel was significantly correlated with proper usage among Tibetan and Yi caregivers (Odds Ratio, OR = 2.0, p < 0.01; and OR = 3.5, p < 0.001). Overall, the township-based and home-visit channels were significantly correlated with high adherence (OR = 1.7 and OR = 2.3, respectively; p < 0.001); delivery frequency was significantly correlated with high adherence (2 months: OR = 2.2, p < 0.001 and ≤ 1 month: OR = 3.5, p < 0.001) but not correlated with proper usage among the whole sample and individual ethnic groups.
Conclusions
In conclusion, the study finds evidence of a correlation between MNP delivery channel and both proper usage and high adherence as well as a correlation between MNP delivery frequency and high adherence.
In many developing countries, low population density may be a major reason for low school participation in rural areas, and the problem is likely to worsen with rapid urbanization. However, few studies have investigated empirically the role of population density in rural education, especially the moderating effect of population density on the outcomes of education policies. This study aims to fill this gap in the literature. From 1999 through the early 2000s, China launched a set of major nationwide policies aimed at universalizing 9-year compulsory education in rural areas. Using differencein- differences and triple difference strategies, we show that the policies significantly increased the probability of junior high school enrollment of rural children and, more importantly, these policies were more effective in densely populated regions. These fi ndings confi rm the importance of population density to rural education.
Transparency is essential to getting every other part of platform regulation right. But defining sound transparency rules—identifying what information is needed most from platforms like Twitter or YouTube, and how to get it—is quite complicated.
Responding to Elon Musk’s proposed acquisition of Twitter, Daphne Keller suggests that “middleware” models, not common carriage rules, best put control over internet speech regulation in the hands of users.
The U.S. Centers for Disease Control and Prevention (CDC) is responsible for preventing the introduction, transmission, and spread of communicable diseases into the United States. It does this primarily through the Division of Global Migration and Quarantine (DGMQ), which oversees the federal quarantine station network. Over the past two decades, the frequency and volume of microbial threats worldwide have continued to intensify. The COVID-19 pandemic, in particular, has prompted a reevaluation of many of our current disease control mechanisms, including the use and role of quarantine as a public health tool.
The emergence of COVID-19 prompted CDC to request that the National Academies of Sciences, Engineering, and Medicine convene a committee to assess the role of DGMQ and the federal quarantine station network in mitigating the risk of onward communicable disease transmission in light of changes in the global environment, including large increases in international travel, threats posed by emerging infections, and the movement of animals and cargo. The committee was also tasked with identifying how lessons learned during COVID-19 and other public health emergencies can be leveraged to strengthen pandemic response. The report's findings and recommendations span five domains: organizational capacity, disease control and response efforts, new technologies and data systems, coordination and collaboration, and legal and regulatory authority.
Decision models can combine information from different sources to simulate the long-term consequences of alternative strategies in the presence of uncertainty. A cohort state-transition model (cSTM) is a decision model commonly used in medical decision making to simulate the transitions of a hypothetical cohort among various health states over time. This tutorial focuses on time-independent cSTM, in which transition probabilities among health states remain constant over time. We implement time-independent cSTM in R, an open-source mathematical and statistical programming language. We illustrate time-independent cSTMs using a previously published decision model, calculate costs and effectiveness outcomes, and conduct a cost-effectiveness analysis of multiple strategies, including a probabilistic sensitivity analysis. We provide open-source code in R to facilitate wider adoption. In a second, more advanced tutorial, we illustrate time-dependent cSTMs.
Key policy takeaways from Michael McFaul on helping Russians who oppose Putin; Kathryn Stoner on how Putin's War has ruined Russia; Steven Pifer on U.S.-Russia relations; Rose Gottemoeller on U.S. policy towards China in the Pacific region; David Studdert on the risks of guns in the home; Herb Lin on cybersecurity, and Hakeem Jefferson on the Jan. 6 hearings.
National Bureau of Economic Research,
June 14, 2022
A new method to test for efficient risk pooling allows for intertemporal smoothing, non-homothetic consumption, and heterogeneous risk and time preferences.
Annual Review of Resource Economics,
June 13, 2022
One out of every three children under age 5 in developing countries lives in conditions that impede human capital development. In this study, we survey the literature on parenting training programs implemented before age 5, with the aim to increase parental investment in human capital accumulation in developing countries. Our review focuses on the implementation and effectiveness of parenting training programs (i.e., training in child psychosocial stimulation and/or training about nutrition). We emphasize the mechanisms that drive treatment-induced change in human capital outcomes and identify the demand- and supply-side behaviors that affect efficacy and effectiveness. Although the literature includes evidence on program features that are associated with successful interventions, further evidence on the dynamics of human capital formation, documentation of medium- to long-term persistence of treatment impacts, and research on the implementation and evaluation of programs at scale are needed to delineate a scalable and inclusive program that provides long-term treatment impacts.
International Journal of Environmental Research and Public Health,
June 13, 2022
This paper examines the impact of parental beliefs on child development outcomes (for both cognitive and social–emotional skills) based on a three-wave longitudinal survey in rural China. The survey waves were conducted when the sample children were 18–30 months, 22–36 months, and 49–65 months, respectively. A total of 815 children and their primary caregivers who participated in all three wave surveys were enrolled in this study. Using difference-in-differences and propensity score matching approaches, the results indicate that strengthened parental beliefs have a positive and significant impact on child social–emotional development. Specifically, between the periods of the Wave 1 survey (when children were 18–30 months old) and the Wave 3 survey (when children were 49–65 months old), and between the Wave 2 survey (when children were 22–36 months old) and the Wave 3 survey, strengthened parental beliefs were causally associated with more favorable child social–emotional scores by 0.44 SD (p < 0.01) and 0.49 SD (p < 0.01), respectively. No significant impact, however, was found between the period of the Wave 1 survey and the Wave 2 survey. In contrast, weakened parental beliefs had a negative and significant impact on child social–emotional development. Specifically, weakened parental beliefs were causally associated with worse child social–emotional abilities by 0.35 SD (p < 0.01), 0.30 SD (p < 0.01), and 0.22 (p < 0.05) for the time period of the Wave 1 to Wave 2, Wave 1 to Wave 3, and Wave 2 to Wave 3, respectively. No significant impact of parental beliefs, however, was found on child cognitive development. In addition, the findings of the mediation analysis show that only a marginal impact of parental beliefs on child social–emotional development can be indirectly explained by parental beliefs through parenting practices. This study calls on policy makers to improve parental beliefs and parenting practices in the hope that it will lead to better child development in rural China.
China’s college admission increased by five times between 1998 and 2009. While the college premium for young workers declined, that for senior workers increased in this period. In our general equilibrium model, a rising demand for skills (education and experience) explains both trends. A demand shock leads to an expansion in the elastic college enrollment, depressing the college premium for young workers. With an inelastic supply, experienced college graduates continue to enjoy a rising premium. Despite the low immediate premium, young individuals continue to flood into colleges because they foresee high lifetime returns. Simulations match empirical results well.
Millions of Americans may have asked themselves these questions, or versions of them—especially in the wake of horrific mass shootings like those in Buffalo and Uvalde. Record-breaking spikes in gun sales over the last two years, alongside surveys indicating that self-protection continues to be the dominant reason for buying guns, underscore a widely-held belief that a gun in the home has security benefits.
A new study from my research team, recently published in the Annals of Internal Medicine, shows no such benefits. We found the opposite: people living in homes with guns face substantially higher risks of being fatally assaulted.
