Monday, September 16, 2024

The New York Fed DSGE Mannequin Forecast—March 2024


This publish presents an replace of the financial forecasts generated by the Federal Reserve Financial institution of New York’s dynamic stochastic basic equilibrium (DSGE) mannequin. We describe very briefly our forecast and its change since December 2023. As common, we want to remind our readers that the DSGE mannequin forecast will not be an official New York Fed forecast, however solely an enter to the Analysis employees’s total forecasting course of. For extra details about the mannequin and variables mentioned right here, see our DSGE mannequin Q & A.

The New York Fed mannequin forecasts use knowledge launched via 2023:This fall, augmented for 2024:Q1 with the median forecasts for actual GDP development and core PCE inflation from the January launch of the Philadelphia Fed Survey of Skilled Forecasters (SPF), in addition to the yields on ten-year Treasury securities and Baa company bonds based mostly on 2024:Q1 averages as much as February 27. Beginning in 2021:This fall, the anticipated federal funds fee (FFR) between one and 6 quarters into the longer term is restricted to equal the corresponding median level forecast from the newest obtainable Survey of Major Sellers (SPD) within the corresponding quarter. For the present projection, that is the January SPD.

As soon as once more, the mannequin was stunned by the power of the economic system. The mannequin attributes this forecast error partly to higher-than-expected productiveness, and partly to stimulative monetary situations. This constructive shock results in a large upward revision of the output development projections for 2024 relative to the December forecast (1.9 versus 1.2 %).  Development projections for the rest of the forecast horizon usually are not very totally different from what they had been in December (0.7, 0.5, and 1.0 % in 2025, 2026, and 2027 versus 0.7, 0.9, and 1.5 % in December, respectively). Inflation projections are barely decrease in 2024 than they had been in December (2.0 versus 2.2 %), largely as a result of 2023:This fall inflation stunned the mannequin on the draw back (though we should always word that the mannequin didn’t bear in mind the January core PCE readings, as they weren’t but integrated within the February SPF nowcast). The anticipated path for inflation is in any other case primarily the identical as in December (2.0, 2.1, and a pair of.2 % in 2025, 2026, and 2027 versus 2.0, 2.0, and a pair of.1 % in December, respectively).

The short-run actual pure fee of curiosity is predicted to stay at roughly the identical elevated stage as projected in December for 2024 (2.1 % versus 2.2 % in December), declining to 1.9 % in 2025, 1.6 % in 2026, and 1.4 % in 2027. The anticipated path of the coverage fee is actually unchanged relative to December. The mannequin continues to see coverage as being restrictive via the tip of 2024, with the actual federal funds fee remaining above the short-term pure fee of curiosity.

Forecast Comparability

Forecast Interval 2024 2025 2026 2027
Date of Forecast Mar 24 Dec 23 Mar 24 Dec 23 Mar 24 Dec 23 Mar 24 Dec 23
GDP development
(This fall/This fall)
1.9
 (-2.2, 6.1) 
1.2
 (-3.8, 6.2) 
0.7
 (-4.3, 5.6) 
0.7
 (-4.3, 5.7) 
0.5
 (-4.7, 5.8) 
0.9
 (-4.5, 6.3) 
1.0
 (-4.6, 6.5) 
1.5
 (-4.1, 7.1) 
Core PCE inflation
(This fall/This fall)
2.0
 (1.5, 2.6) 
2.2
 (1.5, 2.9) 
2.0
 (1.1, 2.8) 
2.0
 (1.1, 2.9) 
2.1
 (1.1, 3.0) 
2.0
 (1.0, 3.0) 
2.2
 (1.1, 3.3) 
2.1
 (1.0, 3.1) 
Actual pure fee of curiosity
(This fall)
2.1
 (0.8, 3.4) 
2.2
 (0.8, 3.6) 
1.9
 (0.4, 3.3) 
1.8
 (0.3, 3.3) 
1.6
 (0.0, 3.2) 
1.6
 (0.0, 3.2) 
1.4
 (-0.3, 3.1) 
1.4
 (-0.3, 3.1) 
Supply: Authors’ calculations.
Notes: This desk lists the forecasts of output development, core PCE inflation, and the actual pure fee of curiosity from the March 2024 and December 2023 forecasts. The numbers outdoors parentheses are the imply forecasts, and the numbers in parentheses are the 68 % bands.

Forecasts of Output Development

Line chart showing forecasts of output growth generated by the New York Fed's DSGE Model.

Supply: Authors’ calculations.
Notes: These two panels depict output development. Within the high panel, the black line signifies precise knowledge and the crimson line reveals the mannequin forecasts. The shaded areas mark the uncertainty related to our forecasts at 50, 60, 70, 80, and 90 % chance intervals. Within the backside panel, the blue line reveals the present forecast (quarter-to-quarter, annualized), and the grey line reveals the December 2023 forecast.

Forecasts of Inflation

Line chart showing forecasts for core PCE inflation generated by the New York Fed's DSGE Model.

Supply: Authors’ calculations.
Notes: These two panels depict core private consumption expenditures (PCE) inflation. Within the high panel, the black line signifies precise knowledge and the crimson line reveals the mannequin forecasts. The shaded areas mark the uncertainty related to our forecasts at 50, 60, 70, 80, and 90 % chance intervals. Within the backside panel, the blue line reveals the present forecast (quarter-to-quarter, annualized), and the grey line reveals the December 2023 forecast.

Actual Pure Charge of Curiosity

Line chart showing estimates for the real natural rate of interest, as generated by the New York Fed's DSGE Model.

Supply: Authors’ calculations.
Notes: The black line reveals the mannequin’s imply estimate of the actual pure fee of curiosity; the crimson line reveals the mannequin forecast of the actual pure fee. The shaded space marks the uncertainty related to the forecasts at 50, 60, 70, 80, and 90 % chance intervals.

Marco Del Negro is an financial analysis advisor in Macroeconomic and Financial Research within the Federal Reserve Financial institution of New York’s Analysis and Statistics Group.

Pranay Gundam is a analysis analyst within the Financial institution’s Analysis and Statistics Group.

Photo: portrait of Donggyu Lee

Donggyu Lee is a analysis economist in Macroeconomic and Financial Research within the Federal Reserve Financial institution of New York’s Analysis and Statistics Group.

Ramya Nallamotu is a analysis analyst within the Financial institution’s Analysis and Statistics Group.

Brian Pacula is a analysis analyst within the Financial institution’s Analysis and Statistics Group.

Easy methods to cite this publish:
Marco Del Negro, Pranay Gundam, Donggyu Lee, Ramya Nallamotu, and Brian Pacula, “The New York Fed DSGE Mannequin Forecast—March 2024,” Federal Reserve Financial institution of New York Liberty Road Economics, March 22, 2024, https://libertystreeteconomics.newyorkfed.org/2024/03/the-new-york-fed-dsge-model-forecast-march-2024/.


Disclaimer
The views expressed on this publish are these of the writer(s) and don’t essentially mirror the place of the Federal Reserve Financial institution of New York or the Federal Reserve System. Any errors or omissions are the duty of the writer(s).

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