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Code and data files for "The Looming Fiscal Reckoning: Tax Distortions, Top Earners, and Revenues"

Author

Listed:
  • Nezih Guner

    (Universitat Autonoma de Barcelona)

  • Martin Lopez-Daneri

    (Temple Univewrsity)

  • Gustavo Ventura

    (Arizona State University)

Programming Language

Fortran R

Abstract

Code and data to replicate the results of the article.

Suggested Citation

  • Nezih Guner & Martin Lopez-Daneri & Gustavo Ventura, 2023. "Code and data files for "The Looming Fiscal Reckoning: Tax Distortions, Top Earners, and Revenues"," Computer Codes 23-144, Review of Economic Dynamics.
    • Handle: RePEc:red:ccodes:23-144
    as

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    File URL: https://red-files-public.s3.amazonaws.com/codes/23/23-144/readme.txt
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    File URL: https://red-files-public.s3.amazonaws.com/codes/23/23-144/Fiscal_Reckoning_Code_and_Results_Guner_Lopez-Daneri_Ventura.zip
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    More about this item

    Keywords

    Fortran; R;

    JEL classification:

    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue

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