美国总统特朗普本周五收到了一批不好的经济数据，而他的回应：并不是反思自身的政策是否有何不足或值得商榷之处，而是直接把编制这些数据的负责人 给"炒"了…… 周五，随着特朗普正式宣布解雇劳工统计局局长埃丽卡·麦肯塔弗，美国舆论也随之陷入了哗然，许多经济学家和市场人士对未来美国经济数据的真实性和 完整性，产生了强烈担忧…… 随后，美国劳工部当地时间周五晚间确认，劳工统计局局长麦肯塔弗已被解雇，副局长威廉·威亚特罗夫斯基将暂代局长一职，直至找到继任者。 美国舆论痛批特朗普炒人做法 毫无疑问，对于经常吹捧美国经济"火爆"、并声称"其加征关税和减税措施将使美国经济更加强劲"的特朗普来说，周五所公布的非农数据是一个不小的打 击。 但很显然的一点是，特朗普不能只在经济数据对其有利于沾沾自喜，而在对其不利于时则痛斥数据造假——这样的"双标"做法，又如何能保证未来的美国数 据具有公信力？ 事情的起因源于周五美国劳工统计局发布的异常低迷的非农就业数据。数据显示，美国7月新增就业岗位仅为7.3万个，远低于市场预期。与此同时，劳工统 计局还对5月和6月的非农数据进行了大幅修正——两月合计被下修了25.8万个岗位。劳工统计局在报告中表示 ...

Core Insights - Federal Reserve Chairman Jerome Powell expressed concerns about the declining quality of data from the Bureau of Labor Statistics (BLS), indicating that federal budget cuts may be undermining the reliability of key economic indicators such as inflation and employment [1][3] - Powell highlighted that while current data is not yet at a "worrisome" level, the trend of reduced survey coverage by the BLS is indeed troubling, emphasizing the importance of accurate economic data for decision-making by the Fed, Congress, and businesses [1][3] Data Quality Risks - Specific signs of data quality risks have emerged, with the BLS suspending on-site data collection for the Consumer Price Index (CPI) in several cities, leading to approximately 30% of May's CPI data relying on estimates, a figure three times the historical average [3] - Concerns have been raised regarding the accuracy of employment data, with initial estimates of 139,000 new non-farm jobs in May potentially being revised down to around 100,000 due to statistical omissions from small businesses affected by tariff policies [3] Budget Cuts Impact - The deep-rooted issue points to reduced federal funding, with the Trump administration's proposed budget cuts of $56 million to the BLS continuing the trend of fiscal tightening observed earlier in the year [3] - The funding shortfall has directly weakened the BLS's data collection capabilities, as the agency needs to cover 75 cities and 200 product categories to calculate the CPI, but is increasingly relying on estimation models due to a shrinking statistical network [3] Market Concerns - There are growing market concerns that distorted data may mislead the Federal Reserve's policy direction, potentially resulting in monetary decisions that do not align with the actual economic cycle if inflation is underestimated or employment market weaknesses are obscured [3]