The rapid financing of the AI boom through massive corporate debt issuance is creating significant stress on global financial markets. This influx of private capital forces competition with government Treasury bonds, as AI companies offer higher yields than equivalent sovereign debt, thereby pushing up long-term interest rates. While this signals strong investment demand for AI, it raises concerns about systemic risk and the potential destabilization of core bond markets. Policymakers must navigate the tension between fueling critical technological growth and maintaining stable public borrowing costs to prevent a financial crisis.
Gender Norms Survey Measurement in Very Young Adolescents in Low- and Middle-Income Countries: A Review of Survey Efforts and Synthesis of Best Practices
English Summary
The RAND report, published in 2026, synthesizes existing efforts to measure gender norms in very young adolescents (VYAs) – aged 10-14 – within low- and middle-income countries. It highlights significant gaps in understanding VYA experiences and the need for improved measurement strategies to assess the impact of entrenched norms and evaluate intervention effectiveness. The analysis identifies key survey initiatives like GEAS and GAGE, while acknowledging limitations in global measures. Recommendations emphasize tailoring survey instruments to specific age contexts, integrating qualitative data, and measuring norms across families and communities to enhance validity and reliability.
中文摘要
2026 年 RAND 報告綜匯了針對非常年輕青少年（VYAs，即 10-14 歲）在低收入和中等收入國家中的性別規範衡量現有努力。報告突顯了對 VYA 經驗理解的重大差距，以及改進測量策略以評估根深蒂固規範的影響並評估干預效果的必要性。分析闡述了關鍵調查項目，如 GEAS 和 GAGE，同時承認全球衡量標準的局限性。建議強調根據具體年齡情境量身定制調查工具、整合定性數據，以及在家庭和社區層面衡量規範，以提高有效性和可靠性。
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