Date of US Recessions (GDP-Based Inference)
Why Use This Data Source In Your Models?
Date of US recessions describes the years in which the US economy was in a recession. This is useful for analyzing past economic health.
Date of US Recessions (GDP-Based Inference)
Instantly Download this Data Using Our Automated Feature Engineering Tool.
Automated Data Profiling
Suggested Treatment:
Grain Transformation:
Source:
Hamilton, James
Release:
U.S. Recessions
Units:
1 or 0, Not Seasonally Adjusted
Frequency:
Quarterly
Available Through:
12/31/2024
Suggested Treatment:
No treatments recommended.
Grain Transformation:
Data is unable to be distributed by time or geography. The roll up method used is Weighted Average.
This dataset is a zero / one indicator and not appropriate for transformation.
Citation:
Hamilton, James, Dates of U.S. recessions as inferred by GDP-based recession indicator [JHDUSRGDPBR], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/JHDUSRGDPBR, December 19, 2019.
Designed For Data Scientists and Analysts
400+ Data Sources
Use our platform to aggregate, normalize, and profile open source and premium control data. Spend less time finding and wrangling data, and more time building efficient and feature-rich machine learning data pipelines.
Data Science Treatments
Instantly apply industry-standard data science treatments and transformations, including (but not limited to) Differencing, Lead/Lag, Box Cox. Easily manipulate data across different time and geographic grains.
Auto Discovery
Our Patent Pending iterative testing engine allows you to upload your target variable, and the platform will test for possible statistical relationships across all available data sources. Saving you time and removing analyst bias.
Data Ingestion
Easily integrate your Ready Signal data to the data science platform of your choice. Connect directly to Ready Signal through our API or using one of our pre-built data connectors or download directly in Excel or CSV format.
