IDEAS home Printed from https://ideas.repec.org/c/red/ccodes/16-214.html
 

Code and data files for "Taxing Atlas: Executive Compensation, Firm Size and Their Impact on Optimal Top Income Tax Rates"

Author

Listed:
  • Laurence Ales

    (Carnegie Mellon University)

  • Antonio Andres Bellofatto

    (University of Queensland)

  • Jessie Jiaxu Wang

    (Arizona State University)

Programming Language

STATA Matlab

Abstract

Code and data to replicate the results of the article.

Suggested Citation

  • Laurence Ales & Antonio Andres Bellofatto & Jessie Jiaxu Wang, 2017. "Code and data files for "Taxing Atlas: Executive Compensation, Firm Size and Their Impact on Optimal Top Income Tax Rates"," Computer Codes 16-214, Review of Economic Dynamics.
    • Handle: RePEc:red:ccodes:16-214
    as

    Download full text from publisher

    File URL: https://red-files-public.s3.amazonaws.com/codes/16/16-214/readme.txt
    Download Restriction: None
    File URL: https://red-files-public.s3.amazonaws.com/codes/16/16-214/Quantitative.zip
    Download Restriction: None
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    STATA; Matlab;

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:red:ccodes:16-214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.