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US Macroeconomic Time Series and Forecasting Data
Data Science and Analytics
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About
Presents yearly US Gross Domestic Product (GDP) values that have been corrected for the effects of inflation, alongside three modelled time series. These additional synthetic series resemble financial data and exhibit varying levels of predictability. This resource offers an ideal combination of real and simulated economic data, making it perfectly suited for foundational time series analysis and forecasting projects.
Columns
- DATE: Represents the recorded point in time for each observation.
- GDP Value: Contains the yearly US GDP figures, adjusted for inflation.
Distribution
The data is delivered in a structured format, typically a CSV file named
GDPUS_nsa.csv, which has a small file size of 6.05 kB. It contains 296 valid records available for analysis. The recorded GDP values show significant variation, ranging from a minimum of 58.5k up to a maximum value of 5.53m.Usage
This resource is best employed in applications that demand robust time series methodologies. Specific ideal applications include:
- Determining the optimal prediction models, such as ARIMA, Singular Spectrum Analysis (SSA), or Exponential Smoothing, for the given series.
- Establishing accurate confidence intervals for future economic predictions.
- Investigating the presence of long-term cycles or seasonality within the US GDP data.
Coverage
The scope of this data is focused exclusively on macroeconomic figures for the United States, specifically yearly GDP figures corrected for inflation. The temporal coverage spans from 1st January 1947 through to 1st October 2020. The expected update frequency for this specific resource is noted as never.
License
CC0: Public Domain
Who Can Use It
The primary audience includes Data Scientists seeking foundational data to test and calibrate time series algorithms. Economists can use it for macro-economic trend analysis, and students or researchers focused on quantitative finance and statistical modelling will find this resource invaluable.
Dataset Name Suggestions
- US Macroeconomic Time Series and Forecasting Data
- Inflation-Corrected US GDP Data with Modelled Financial Series
- Economic Time Series Analysis Starter Pack
Attributes
Original Data Source: US Macroeconomic Time Series and Forecasting Data
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