68 papers
This paper proposes a model of "agent capital" where AI reduces coordination costs to endogenously reshape organizational structures, revealing a regime fork where the distributional outcome—ranging from broad-based gains to superstar concentration—depends on who controls the resulting organizational elasticity, even as overall inequality declines through employment expansion.
Using a hybrid DEA and machine learning approach on PISA 2022 data from nine Latin American countries, this study reveals that private schools outperform public schools in both cognitive and non-cognitive efficiency, identifying distinct determinants such as home resources and autonomy for private schools versus climate and student engagement challenges for public schools.
Using explainable machine learning on PISA 2022 data from nine Latin American countries, this study identifies distinct household and school-level determinants of student academic resilience post-pandemic, revealing how factors like digital access, teaching quality, and pandemic disruptions differentially influence disadvantaged students' ability to achieve high performance.
This paper introduces Temporal Hierarchy Forecasting (THieF) as a computationally efficient method that significantly improves day-ahead electricity price prediction accuracy across diverse models and markets by reconciling forecasts for hourly and block products.
Across 13 studies, researchers found that people consistently reduce compensation for workers who use AI due to perceived decreases in effort and agency, though this "AI penalty" can be mitigated when workers retain creative control or when contracts prohibit such reductions.
This study analyzes voting records of over 14,000 U.S. state legislators from 2011 to 2022 and finds that mass shootings occurring within a legislator's district do not, on average, lead to measurable changes in their voting behavior on firearm policy, regardless of partisanship or geographic proximity.
This paper establishes a general cross-currency Heath-Jarrow-Morton framework within a multiple-curve setting that incorporates collateralization, arbitrary market indices, and instantaneous basis spreads to simultaneously model both forward-looking IBOR and backward-looking overnight rates for multi-currency interest rate portfolios.
This research paper examines the sustainability challenges facing luxury resorts in the Maldives and proposes a framework based on the Triple Bottom Line approach and 12 Sustainable Tourism Principles to guide the implementation of effective practices, regulatory reforms, and collaborative strategies for long-term environmental and economic viability.