Nirvaan Pandit, Stanford University -- As Global South club “BRICS” expands, it teeters between potential and paralysis—poised to reshape the global order in a time of volatility, yet just as likely to fade into the background of failed coalitions. For India—caught between Western partnership and Southern solidarity—the dilemma lies in choosing between them.
Author: Eric Gao
Who’s the Leader? Evaluating International Monetary Policy Spillovers
Henry Weiland and Megan Yeo, Harvard University -- Do foreign central bank policy announcements impact domestic markets? In which direction do these spillovers occur? To answer these questions, we use changes in a country’s two-year nominal yield around policy announcements as a proxy for monetary shocks. We aim to determine the causal effect of these announcements on other countries’ financial instruments. We observe significant movements in 10-year yield spreads surrounding monetary policy announcements in developed economies, yet not stemming from announcements in emerging-market economies. Results appear most pronounced among geographic neighbors.
Impacts of Pandemic Instruction Mode on High School Students’ Education Outcomes: Evidence from U.S. States
Erica Ewing Zhou, Northwestern University -- Previous research has established that the transition from face-to-face instruction to distance education during the COVID-19 pandemic adversely impacts the academic performance of students in grades 3 through 8. To date, however, little is known if similar effects of instruction mode changes apply to students in higher grade levels. This study investigates this gap by using high school test proficiency and dropout rates data from six U.S. states. Contrary to the existing literature, this study reveals that high school students on average did not experience considerable learning losses during the pandemic, with no compelling evidence of widening achievement gaps among marginalized groups.
Assessing the Impacts of Residency Restrictions on Sex Crimes
Erin Lillis, Grinnell College -- This paper analyzes the efficacy of residency restriction laws placed on sex offenders post-incarceration in Montana, North Dakota, and South Carolina. These laws give a specific radius within which those they deem “high-risk” sex offenders cannot live. A Callaway-Sant’Anna difference-in-difference model with state and year fixed effects is utilized as the identification strategy. The main finding is that the law’s enactment led to an increase of 23.9 sex crimes per 100,000. It also led to a substantial increase in the proportion of sex crime victims under the age of 18. Results from a synthetic control model and an alternative difference-in-difference specification also found that the law did not substantially decrease sex crimes. The recommendation based on these results is that residency restriction laws are not effective policy initiatives to reduce sex crimes, especially against children.
Permutation Tests for Equality of Variance Applied to the Problem of Clustering
Johnny O’Meara, University of Notre Dame -- This paper makes two contributions. First is proposing a permutation test for testing equality of variances in two populations. The test is easy to implement, has exact size in finite samples under the sharp null, and has correct size in large samples. Monte Carlo simulations allow for a comparison between the permutation test and classical tests for equality of variances that point to many settings where the permutation test outperforms classical tests. Second is to demonstrate that testing for clustering in regression analysis can be thought of as testing for equality of variances. Finally, the permutation test is empirically illustrated using data from Tennessee’s Project STAR. The permutation test indicates that clustering should be done at the classroom level, which is consistent with previous findings.
Beyond the Headlines: Monetary Policy Transmission to Equity Markets
Ezra Polesky, Occidental College -- This paper examines the impact of monetary policy announcements on equity markets, with a particular focus on how dynamics have shifted since the rise of forward guidance. A new method is used to estimate the surprise component of monetary policy announcements. Notably, this paper finds that with the rise of forward guidance, equity markets demonstrate heightened sensitivity to surprise monetary policy announcements. Capital-intensive and cyclical industries are the most responsive segments of the market to surprise monetary policy announcements, both before and after the rise of forward guidance.
Our 2025 Issue
On behalf of the Stanford Economic Review Editorial Board, we are honored to present the thirteenth volume of Stanford University’s undergraduate economics journal. During the 2024–2025 academic year, we have focused on fostering a stronger connection between the undergraduate and graduate economics communities at Stanford. Most notably, in an effort to lower barriers to entry… Continue reading Our 2025 Issue
COMMENTARY: Is Banking Regulation a Vicious Cycle?
Araha Uday, Stanford University -- Supervision and regulation as we know emerged following the Great Recession when policymakers vowed to prevent what took place then–billions of dollars in bailouts for the biggest banks—from happening again. Although the majority of bailed-out banks eventually repaid their loans (leading to the federal government profiting $109 billion), some still have outstanding balances. Still, a few missed payments are a small price to keep banks afloat; at least a chance of future repayment remains. A complete bank failure, on the other hand, would mean no repayments at all, highlighting the high stakes in maintaining a stable banking system.
COMMENTARY: AI in Agriculture: Transforming Food Security in Sub-Saharan Africa
Paul Squatrito, University of Oregon -- Sub-Saharan Africa stands at a pivotal juncture. The region’s population is projected to double by 2050, exceeding 2.5 billion people, placing immense pressure on food systems already struggling to meet demand. Compounding this challenge are climate-induced disruptions, post-harvest inefficiencies, and limited access to modern agricultural inputs. With over 280 million people facing food insecurity, technological innovation is not merely an option but a necessity. Artificial intelligence (AI) has emerged as a potent force, capable of addressing systemic inefficiencies, predicting risks, and optimizing agricultural productivity. Yet, the integration of AI into agriculture is fraught with challenges, including technological inequities and the potential displacement of rural labor.
