Brandon J. Sheridan

The Economic Education Network for Experiments (EENE) is an ambitious new infrastructure designed to make large-scale, multi-site research a reality in economic education. By coordinating recruitment, standardization, and implementation across institutions worldwide, EENE increases statistical power, generalizability, and efficiency while fostering a spirit of shared inquiry. The vision is a global platform through which economists can collectively test, replicate, and refine what works in teaching and learning, moving the field from small-scale innovation to sustained, cumulative progress.

This paper uses an augmented production function to empirically examine whether accelerated trade growth affects the probability of achieving a sustained increase in economic growth (takeoffs). The researchers propose a robust causal relationship between trade and takeoffs by generating a time-varying geographic instrument and use a fixed effects Logit model controlling for incidental parameters bias, then apply the sorted effects method to estimate partial effects of trade on the probability of a takeoff. Results suggest that trade openness is much more important for middle-income economies who have stagnated and want to spark economic growth.

Using a gravity model framework and the updated Global Sanctions Data Base, this paper characterizes the heterogeneous response of exports to various types of sanctions using disaggregated product-level trade flows for 247 countries over 1962–2019. The study examines both exporter and importer sanctions, distinguishing how different types affect trade. Complete sanctions have the strongest impact on the extensive margin, while partial sanctions matter most for the intensive margin. Importer sanctions show approximately a 7% decline in the extensive margin, while arms sanctions reduce the extensive margin by about three products and travel sanctions by nearly seven products.

Using data from a wide cross-section of countries over 1970–2009, this study finds that although increasing manufacturing exports is important for sustained economic growth, this relationship only holds once a threshold level of development is reached. The author uses regression tree analysis to identify possible economic development thresholds in the relationship between manufacturing exports and GDP per capita growth, finding that a minimum level of human capital and education is needed before exporting manufactures is beneficial for transitioning from primary exports to manufactured exports.

Teaching Economics Online combines past experience with innovative ideas on how to design teaching and improve the overall learning experience whilst remaining inclusive, effective and resilient. The book is organized into three main parts covering effective learning in online classrooms, creating adaptable learning environments, and collaborative learning in online classrooms. Topics include making learning stick in online education, revolutionizing teaching economics online with AI, and accessibility, inclusivity, and diversity in teaching economics online.