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品浩 · richard clarida · 2026/08/19

投资者关注的关键通胀信号

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投资者关注的关键通胀信号

本文最初发表于《金融时报》,日期为19年2026月。

在凯文·沃什(Kevin Warsh)就任美国联邦储备委员会(Fed)主席的最初几周,人们重新关注如何衡量“潜在”通胀以指导利率决策。

常见的通胀指标,包括美联储青睐的个人消费支出(PCE)价格指数,已高于央行2%的目标长达五年。但至少其中一部分反映了能源价格和关税的上涨,这些因素未来不应成为潜在通胀的持续来源。关税和油价都不可能永远上涨。就后者而言,期货市场显示油价预计将在未来一年内下跌。

那么,政策制定者应如何看待潜在趋势?许多流行的衡量方法仅基于价格数据本身。例如,“核心”通胀剔除了食品和能源价格;“截尾均值”指标使用统计方法剔除价格变动中的异常值;“粘性价格”通胀指数则过滤掉价格调整频繁的商品价格。

尽管这些指标各有可取之处,但它们都存在同一个问题:忽略了劳动力市场的证据,尤其是经生产率增长调整的工资涨幅。

这很奇怪。在美国,经生产率调整的劳动力补偿(即单位劳动力成本)历史上约占非金融企业部门增加值的60%。在战后的美国数据中(见图1),所有持续且上升的价格通胀时期——包括1960年代、1970年代和2020年代——都伴随着持续且上升的单位成本通胀。而所有通胀长期下降的时期——包括1980年代、1990年代和2020年代——都伴随着单位成本通胀的下降。

这并非巧合。事实上,在许多央行使用的主流理论模型中,单位成本通胀是预期未来价格通胀的关键输入。当然,还存在能源或进口价格以及利润率方面的“冲击”。逐月来看,这些因素很重要,但在中期(例如三到五年),价格潜在趋势往往与单位成本和预期通胀大致保持一致。

这就引出了当前的情况。使用四年平均值来平滑冲击和噪音(见上文图1),本月早些时候发布的最新数据显示,过去四年单位成本通胀平均为2%,过去一年则运行在1.5%。

这一速度实际上与疫情前2018至2019年的潜在通胀水平相当或略低,当时物价上涨指标处于或低于美联储2%的目标。

重要的是,单位成本通胀正在下降,原因有两个:工资通胀正在放缓,而生产率增长正在上升。事实上,在过去12个月中,平均时薪增速为七年来最慢,而潜在生产率增长指标正以十多年来最快的速度上升。

尽管预测很难——尤其是对未来的预测——但有理由预计,单位成本通胀将持续运行在与美联储目标相符的2%水平或以下。

就业增长一段时间以来一直低迷,而失业率下降的原因并不理想:主要劳动年龄人口参与率下降。

如果有任何情况,预计未来几年生产率增长将上升是合理的,因为人工智能更广泛地部署和扩散到经济中。事实上,专家之间的争论并非人工智能是否会提高生产率超过当前速度,而是提高多少。

这让我们回到沃什领导的美联储以及对于潜在通胀的关注。当前劳动力市场并非潜在通胀的来源。实际通胀率高于2%目标,原因在于其他因素,其中包括超大规模企业投资热潮推高芯片和电力价格。

此外,与以往商业周期扩张中劳动收入占国民收入比重往往上升不同,近年来该比重一直在下降。

通胀仍然过高,美联储可能认为需要加息——或许是为了保持通胀预期稳定——但并非因为工作人数过多。

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完整英文原文

This article originally appeared in the Financial Times on 19 August 2026.

In the early weeks of Kevin Warsh’s start as chair of the U.S. Federal Reserve, there has been renewed focus on how “underlying” inflation should be measured to guide decisions on interest rates.

Common inflation measures, including the Fed’s preferred personal consumption expenditures (PCE) price index, have been above the central bank’s 2% target for five years. But at least some of this reflects higher energy prices and tariffs, which should not in the future be an ongoing source of underlying inflation. Neither tariffs nor oil prices can go up forever. And in the case of the latter, the futures market signals oil prices are expected to be lower over the next year.

So how should policymakers look at the underlying trend? Many popular measures of this are based solely on price data itself. For example, “core” inflation strips out food and energy prices; “trimmed mean” measures use statistical methods to strip away outliers in price changes; and “sticky price” inflation indices filter out the prices of goods whose prices adjust frequently.

While each of these measures has something to offer, all suffer from the same problem: They ignore evidence from the labor market and, in particular, wage gains adjusted for productivity growth.

This is odd. In the U.S., labor compensation adjusted for productivity (referred to as unit labor costs) historically accounts for about 60% of value added in the nonfinancial corporate sector. In the postwar U.S. data (see Figure 1), all previous episodes of sustained and rising price inflation – including the 1960s, 1970s, and 2020s – have been accompanied by sustained and rising unit cost inflation. And all the times when inflation fell for lengthy periods – including the 1980s, 1990s, and 2020s – have been accompanied by falls in unit cost inflation.

This is not a coincidence. Indeed, in the workhorse theoretical models used by many central banks, unit cost inflation is a key input along with expected future price inflation. There are of course “shocks” such as those on energy or import prices as well as profit margins. Month to month these are important but over the medium term – say three to five years – the underlying trend on prices tends to track unit cost and expected inflation reasonably closely.

This brings us to today. Using a four-year average to smooth out shocks and noise (see Figure 1 above), the most recent data, released earlier this month, show that unit cost inflation over the past four years has averaged 2% and during the past year is running at 1.5%.

This pace is actually running at or a bit below the measure of underlying inflation in 2018–2019 before the pandemic, when measures of rising prices were at or below the Fed’s 2% target.

Importantly, unit cost inflation is falling for two reasons: Wage inflation is reducing and productivity growth is rising. Indeed, over the past 12 months, average hourly earnings have risen at the slowest pace in seven years and measures of underlying productivity growth are increasing at the fastest pace in more than a decade.

Although forecasting is hard – especially about the future – it is reasonable to expect underlying unit cost inflation to continue to run at or below the 2% pace consistent with the Fed’s target.

Employment growth has been sluggish for some time and the unemployment rate has been falling for the wrong reason: declining prime-age labor force participation.

If anything, it is plausible to expect productivity growth to rise in coming years as AI is deployed and diffused more broadly in the economy. Indeed, the debate among experts is not whether AI will boost productivity above the current pace but by how much.

Which brings us back to the Warsh Fed and the focus on underlying inflation. The labor market is not a source of underlying inflation today. Actual inflation is running above the 2% target for other reasons, which today include increases in computer chip and electricity prices pushed up by the hyperscaler investment boom.

Moreover, unlike in previous business cycle expansions when labor’s share of national income has tended to rise, in recent years it has been falling.

Inflation remains too high, and the Fed may decide it needs to raise rates – perhaps to keep inflation expectations anchored – but not because too many people are working.

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AI 分析
由 AI 依据上文研报生成 · 非原文直译、非机构原话 · 重要判断请核对官网原文
关键论点
  • 仅基于价格的通胀指标忽略了劳动力市场证据,特别是经生产率调整的工资增长。
  • 在美国非金融企业部门,单位劳动力成本历史上约占增加值的60%。
  • 持续性通胀与单位成本通胀上升相关;通胀下降与单位成本通胀下降相关。
  • 当前单位成本通胀在2%或以下,近期工资增长放缓,生产率上升。
  • 人工智能的部署可能提升生产率增长,进一步抑制单位成本通胀。
  • 劳动力市场目前并非潜在通胀的来源。
  • 实际通胀高企由其他因素驱动,如芯片和电力价格,而非劳动力需求过剩。
风险
  • 实际通胀仍高于目标,可能迫使美联储加息以锚定预期。
  • 人工智能的生产率提升存在不确定性,采用速度可能不及预期。
  • 如果劳动力市场收紧,工资通胀可能重新加速。
  • 能源和关税冲击可能持续比预期更久。