IDEAS home Printed from https://ideas.repec.org/p/wop/safiwp/01-10-061.html
   My bibliography  Save this paper

Emulation, Inequality, and Work Hours: Was Thorsten Veblen Right?

Author

Listed:
  • Samuel Bowles

Abstract

We investigate the importance of Veblen effects on work hours, namely the manner in which a desire to emulate the consumption standards of the rich influences individuals' allocation of time between labor and leisure. Our model of the choice of work hours captures Veblen effects by taking account of the influence of the consumption of the well-to-do on the marginal utility of own consumption of the less well off: the main result is that work hours are increasing in the degree of income inequality. We use data on work hours of manufacturing employees in ten countries over the period 1968-1992, along with data on inequality of income to explore these hypotheses. Inequality is a predictor of work hours in both OLS and fixed effects estimates; its effects are large, and estimates are robust across a variety of specifications. We show that in the presence of Veblen effects a social welfare optimum cannot be implemented by a flat tax on consumption but may be accomplished by more complicated (progressive) consumption taxes or by subsidizing the leisure of the rich.

Suggested Citation

  • Samuel Bowles, 2001. "Emulation, Inequality, and Work Hours: Was Thorsten Veblen Right?," Working Papers 01-10-061, Santa Fe Institute.
  • Handle: RePEc:wop:safiwp:01-10-061
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Interdependent utility; relative income; emulation; work hours; Veblen;
    All these keywords.

    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:wop:safiwp:01-10-061. 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: Thomas Krichel (email available below). General contact details of provider: https://edirc.repec.org/data/epstfus.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.