IDEAS home Printed from https://ideas.repec.org/p/een/camaaa/2017-43.html
   My bibliography  Save this paper

Technology and leisure: Macroeconomic Implications

Author

Listed:
  • Anil Savio Kavuri
  • Warwick J. McKibbin

Abstract

While the impact of technology on production is widely researched, this study explores the economic implications of technology through the channel of enhancing leisure experience on the consumer side. We develop a theoretical model which allows for habit formation for a technology good purchased to enhance leisure activities. In contrast, for the normal consumption good, habits are irrelevant. A persistent fall in the relative price of the technology good and increased addiction to technology are shown to have significant macroeconomic consequences. For example, we show that these perturbations can drive the real interest rate below the rate of time preference and depress consumption growth of non technology goods. Modelling the framework with US data illustrates that model predictions of falling interest rates and consumption growth are consistent with the recent observations of declining technology’s relative prices and increases in technology good purchases.

Suggested Citation

  • Anil Savio Kavuri & Warwick J. McKibbin, 2017. "Technology and leisure: Macroeconomic Implications," CAMA Working Papers 2017-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2017-43
    as

    Download full text from publisher

    File URL: https://cama.crawford.anu.edu.au/sites/default/files/publication/cama_crawford_anu_edu_au/2017-07/43_2017_kavuri_mckibbin.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yingying Lu & Yixiao Zhou, 2021. "A review on the economics of artificial intelligence," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1045-1072, September.

    More about this item

    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:een:camaaa:2017-43. 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: Cama Admin (email available below). General contact details of provider: https://edirc.repec.org/data/asanuau.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.