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This is data I collected from the Federal Reserve Economic Data database to support investigation of the relationship between corporate profits and employee compensation.
The data is generated by calculations, as specified in the individual csv files.
The data includes multiple time series, and some tables have multiple reporting frequencies between different variables. I leave it to the user whether it's best to drop the rows/columns with missing values or to impute the missing values.
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Graph and download economic data for National income: Corporate profits before tax (without IVA and CCAdj) (A053RC1Q027SBEA) from Q1 1947 to Q2 2025 about national income, CCADJ, IVA, corporate profits, tax, corporate, income, GDP, and USA.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj) (CPROFIT) from Q1 1947 to Q2 2025 about CCADJ, IVA, corporate profits, corporate, GDP, and USA.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Corporate Profits in Japan increased to 35833.77 JPY Billion in the second quarter of 2025 from 28469.40 JPY Billion in the first quarter of 2025. This dataset provides - Japan Corporate Profits - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Corporate Tax Rate in the United States stands at 21 percent. This dataset provides - United States Corporate Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This is data I collected from the Federal Reserve Economic Data database to support investigation of the relationship between corporate profits and employee compensation.
The data is generated by calculations, as specified in the individual csv files.
The data includes multiple time series, and some tables have multiple reporting frequencies between different variables. I leave it to the user whether it's best to drop the rows/columns with missing values or to impute the missing values.