The Atlanta Fed GDPNow model provides a real-time estimate of the US gross domestic product (GDP) growth rate, offering valuable insights into the economy's current trajectory.
GDPNow is an interactive tool that combines statistical models with available economic data to estimate the GDP growth rate for the current quarter. This data includes indicators such as consumer spending, business investment, government spending, and trade.
GDPNow's track record for accuracy has been impressive, often outperforming GDP estimates from other sources. The model is updated daily, allowing economists and market participants to track economic progress in real time.
GDPNow offers several benefits to users:
GDPNow has become a widely used tool for economic analysis and forecasting. It influences investment decisions, monetary policy formulation, and business planning. Accurate GDP estimates are crucial for understanding economic growth, inflation trends, and employment levels.
GDPNow has found applications in various fields, including:
Like any model, GDPNow has limitations:
The Atlanta Fed is actively working on improving GDPNow by:
The Atlanta Fed GDPNow tool provides a valuable real-time estimate of US GDP growth, enabling businesses, investors, and policymakers to make informed decisions. While it has limitations, GDPNow's accuracy and timeliness make it an indispensable tool for understanding current economic conditions and anticipating future trends. As the model continues to evolve, it has the potential to become even more insightful and influential in the years to come.
Year | Average Absolute Error |
---|---|
2017 | 0.35% |
2018 | 0.28% |
2019 | 0.34% |
2020 | 0.72% |
2021 | 0.49% |
Data Source | Frequency |
---|---|
Personal consumption expenditures | Monthly |
Gross private domestic investment | Monthly |
Government spending | Monthly |
Net exports | Monthly |
Employment | Monthly |
Model Component | Description |
---|---|
Autoregressive Integrated Moving Average (ARIMA) | Captures historical trends and seasonality |
Dynamic Factor Model (DFM) | Identifies common factors driving economic activity |
Kalman Filter | Blends DFM factors and raw data to improve accuracy |
Application | User | Benefits |
---|---|---|
Fiscal Policy | Governments | Assess policy efficacy, make informed budget decisions |
Monetary Policy | Central Banks | Guide interest rate decisions, manage monetary conditions |
Business Forecasting | Companies | Anticipate economic conditions, adjust operations and investments |
Market Analysis | Investors | Gauge market movements, make investment decisions |
2024-11-17 01:53:44 UTC
2024-11-18 01:53:44 UTC
2024-11-19 01:53:51 UTC
2024-08-01 02:38:21 UTC
2024-07-18 07:41:36 UTC
2024-12-23 02:02:18 UTC
2024-11-16 01:53:42 UTC
2024-12-22 02:02:12 UTC
2024-12-20 02:02:07 UTC
2024-11-20 01:53:51 UTC
2024-12-05 14:42:41 UTC
2024-12-16 21:00:41 UTC
2024-12-04 00:00:49 UTC
2024-12-15 01:16:23 UTC
2024-11-25 09:15:23 UTC
2024-12-07 09:51:29 UTC
2024-10-19 17:10:44 UTC
2025-01-04 06:15:36 UTC
2025-01-04 06:15:36 UTC
2025-01-04 06:15:36 UTC
2025-01-04 06:15:32 UTC
2025-01-04 06:15:32 UTC
2025-01-04 06:15:31 UTC
2025-01-04 06:15:28 UTC
2025-01-04 06:15:28 UTC