St Louis Fed President Musalem (2025 FOMC voter, hawk) spoke alongside fellow 2025 FOMC voter, Kansas City Fed President Schmidt (hawk), at a panel event Friday. While there was almost nothing directly mentioning current monetary policy, it was notable that both appeared to assess "hard" data much more seriously than "soft" survey data. One possible takeaway from this is that the emphasis on incoming hard data means they are likely to want to wait for longer before making any decision to adjust rates.
- Musalem spoke at length about his concerns over inflation expectations amid tariffs, and the need to keep them anchored: "Expectations of inflation are rising for businesses and for consumers...there is also a higher expectation of higher prices going forward for inputs and for outputs. I'm watching that very carefully for consumers and for businesses, because we at the Fed don't want short term inflation expectations to rise to such a level that they could see seep into long term inflation expectations, which would make our job harder in terms of achieving maximum employment and price stability. We're focused on not allowing that to happen." He reiterated his previous view that GDP is very close to potential and the labor market is at or around full employment.
- Both he and Schmid placed emphasis on "hard" data, downplaying the importance of "soft" data in the rate-setting process. Schmid: "the soft is going to lean more toward the forecasting, whereas hard, you know what you've got... when it comes down to actually making policy for me, you've got this 24 hour market and news cycle and there's so much soft data in that, that you really have to be super careful about how you use that... we're anchored in the data that we use to try to drive that policy process. And for me, a policy has always been a longer term decision making. And so I think you have to be really careful with that soft data and kind of the reaction theory side of what happens as you do move rates. And I think that's why you'll see the Federal Reserve, at least from me and for our team, lean very hard on in the hard data sets because I think we can do much more effective modeling and make probably better decisions that are less maybe emotional or forecast based when when we actually get to the decision table."
- Musalem said he agreed, noting the analogy with 2020 when consumer sentiment was very low but actual consumption was strong. "We definitely take signals from the soft data. We don't dismiss it. We take signals from it. But we understand that every every forecast, no matter who's doing it, has a margin of error around it. And the soft data all the surveys that we take are basically impressions, opinions, right? ... we get all this survey input, which are just forecasts, and they have error bounds around them. And they're not necessarily going to be reality."