The New York Fed DSGE Model Forecast—March 2025

This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since December 2024. As usual, we wish to remind our readers that the DSGE model forecast is not an official New York Fed forecast, but only an input to the Research staff’s overall forecasting process. For more information about the model and variables discussed here, see our DSGE model Q & A.
When the Household Pie Shrinks, Who Gets Their Slice?

When households face budgetary constraints, they may encounter bills and debts that they cannot pay. Unlike corporate credit, which typically includes cross-default triggers, households can be delinquent on a specific debt without repercussions from their other lenders. Hence, households can choose which creditors are paid. Analyzing these choices helps economists and investors better understand the strategic incentives of households and the risks of certain classes of credit.
Firms’ Inflation Expectations Have Picked Up

After a period of particularly high inflation following the pandemic recession, inflationary pressures have been moderating the past few years. Indeed, the inflation rate as measured by the consumer price index has come down from a peak of 9.1 percent in the summer of 2022 to 3 percent at the beginning of 2025. The New York Fed asked regional businesses about their own cost and price increases in February, as well as their expectations for future inflation. Service firms reported that business cost and selling price increases continued to moderate through 2024, while manufacturing firms reported some pickup in cost increases but not price increases. Looking ahead, firms expect both cost and price increases to move higher in 2025. Moreover, year-ahead inflation expectations have risen from 3 percent last year at this time to 3.5 among manufacturing firms and 4 percent among service firms, though longer-term inflation expectations remain anchored at around 3 percent.
Comparing Apples to Apples: “Synthetic Real‑Time” Estimates of R‑Star

Estimates of the natural rate of interest, commonly called “r-star,” garner a great deal of attention among economists, central bankers, and financial market participants. The natural interest rate is the real (inflation-adjusted) interest rate expected to prevail when supply and demand in the economy are in balance and inflation is stable. The natural rate cannot be measured directly but must be inferred from other data. When assessing estimates of r-star, it is important to distinguish between real-time estimates and retrospective estimates. Real-time estimates answer the question: “What is the value of r-star based on the information available at the time?” Meanwhile, retrospective estimates answer the question: “What was r-star at some point in the past, based on the information available today?” Although the latter question may be of historical interest, the former question is typically more relevant in practice, whether in financial markets or central banks. Thus, given their different nature, comparing real-time and retrospective estimates is like comparing apples to oranges. In this Liberty Street Economics post, we address this issue by creating new “synthetic real-time” estimates of r-star in the U.S. for the Laubach-Williams (2003) and Holston-Laubach-Williams (2017) models, using vintage datasets. These estimates enable apples-to-apples comparisons of the behavior of real-time r-star estimates over the past quarter century.