IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20120114.html

Top Incomes, Rising Inequality, and Welfare

Author

Listed:
  • Kevin J. Lansing

    (Federal Reserve Bank of San Francisco, and Norges Bank)

  • Agnieszka Markiewicz

    (Erasmus University Rotterdam)

Abstract

This paper develops a general-equilibrium model of skill-biased technological change that approximates the observed shifts in the shares of wage and non-wage income going to the top decile of U.S. households since 1980. Under realistic assumptions, we find that all agents can benefit from the technology change, provided that the observed rise in redistributive transfers over this period is taken into account. We show that the increase in capital’s share of total income and the presence of capital-entrepreneurial skill complementarity are two key features that help support the wages of ordinary workers as the new technology diffuses.

Suggested Citation

  • Kevin J. Lansing & Agnieszka Markiewicz, 2012. "Top Incomes, Rising Inequality, and Welfare," Tinbergen Institute Discussion Papers 12-114/IV, Tinbergen Institute, revised 28 Apr 2015.
  • Handle: RePEc:tin:wpaper:20120114
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/12114.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:tin:wpaper:20120114. 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: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.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.