The article argues that the Federal Reserve's recent rate hike decision, while justifiable on inflation grounds, highlights a critical lack of an underlying, transparent policy framework. The core problem is that the Fed's decisions appear discretionary, leading to market uncertainty because the committee's judgment, rather than clear data, dictates policy shifts. The author proposes that the Fed adopt a formal monetary policy rule—an algebraic formula linking the target rate to indicators like inflation and unemployment—to replace subjective guidance. Implementing such a rule would provide market predictability, enhance transparency, and shield the Fed from political attacks by making deviations from the standard easily quantifiable.
Expanding Treasury’s Do Not Pay System Would Strengthen Welfare Program Integrity
English Summary
The analysis argues that expanding the Treasury's Do Not Pay (DNP) system is essential to prevent billions of dollars in improper payments within state-administered welfare programs. The core reasoning is that DNP, a real-time data-sharing tool, stops fraud at the point of issuance, which is far more effective than costly and often unsuccessful post-payment recovery efforts. Policy recommendations include legislative action to grant DNP access to broader data (such as income and employment records) and mandating its use across all states. Furthermore, the report stresses that technological improvements must be paired with structural reforms that hold states accountable for preventing waste and fraud.
中文摘要
本分析認為，擴大財政部（Treasury）的「不予支付」（Do Not Pay, DNP）系統，對於預防州級管理福利計畫中數十億美元的錯誤支付至關重要。其核心論點是，DNP作為一個即時數據共享工具，能在支付發生的點位阻止欺詐行為，這遠比成本高昂且常失敗的支付後追回努力更為有效。政策建議包括立法行動，以授予DNP系統更廣泛的數據存取權（例如收入和就業記錄），並強制要求所有州必須使用此系統。此外，報告強調，技術改進必須與結構性改革並行，以確保州政府對預防浪費和欺詐行為負起問責責任。
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