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Economic Policy Uncertainty Index: Categorical Index: Taxes (EPUTAXES)

Observations

Feb 2025: 384.39439
Updated: Apr 3, 2025 8:02 AM CDT
Feb 2025:  384.39439  
Jan 2025:  293.14729  
Dec 2024:  184.80943  
Nov 2024:  254.70105  
Oct 2024:  135.26822  

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Not Seasonally Adjusted

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Date:
Bar 1 - Economic Policy Uncertainty Index: Categorical Index: Taxes Vintage: 2025-03-03
Bar 1
(a) Economic Policy Uncertainty Index: Categorical Index: Taxes, Index, Not Seasonally Adjusted (EPUTAXES)
The EPU Categorical Data include a range of sub-indexes based solely on news data. These are derived using results from the Access World News database of over 2,000 US newspapers. For further explanation, please see the source page on Categorical EPU data (https://www.policyuncertainty.com/categorical_epu.html).

Select a date that will equal 100 for your custom index:
  Enter date as YYYY-MM-DD
to

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    Now create a custom formula to combine or transform the series.

    For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

    Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

    Finally, you can change the units of your new series.

    Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD

    Bar 1 - Economic Policy Uncertainty Index: Categorical Index: Taxes Vintage: 2025-03-03
    Bar 2
    (a) Economic Policy Uncertainty Index: Categorical Index: Taxes, Index, Not Seasonally Adjusted (EPUTAXES)
    The EPU Categorical Data include a range of sub-indexes based solely on news data. These are derived using results from the Access World News database of over 2,000 US newspapers. For further explanation, please see the source page on Categorical EPU data (https://www.policyuncertainty.com/categorical_epu.html).

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    Write a custom formula to transform one or more series or combine two or more series.

    You can begin by adding a series to combine with your existing series.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

      Finally, you can change the units of your new series.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

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      Bar 1
      Economic Policy Uncertainty Index: Categorical Index: Taxes Vintage: 2025-03-03
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      Economic Policy Uncertainty Index: Categorical Index: Taxes Vintage: 2025-04-03
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      Notes

      Title Release Dates
      Economic Policy Uncertainty Index: Categorical Index: Taxes 2019-10-09 2025-04-03
       
      Source    
      Baker, Scott R. 2019-10-09 2025-04-03
      Bloom, Nick 2019-10-09 2025-04-03
      Davis, Stephen J. 2019-10-09 2025-04-03
       
      Release    
      Economic Policy Uncertainty 2019-10-09 2025-04-03
       
      Units    
      Index 2019-10-09 2025-04-03
       
      Frequency    
      Monthly 2019-10-09 2025-04-03
       
      Seasonal Adjustment    
      Not Seasonally Adjusted 2019-10-09 2025-04-03
       
      Notes    
      The EPU Categorical Data include a range of sub-indexes based solely on news data. These are derived using results from the Access World News database of over 2,000 US newspapers.

      For further explanation, please see the source page on Categorical EPU data (https://www.policyuncertainty.com/categorical_epu.html).

      		2019-10-09 2025-04-03

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