IDEAS home Printed from https://ideas.repec.org/p/sko/wpaper/bep-2022-01.html

A Real-Business-Cycle model with robots: Lessons for Bulgaria

Author

Listed:
  • Aleksandar Vasilev

    (Lincoln International Business School, UK.)

Abstract

Robots are introduced into a real-business-cycle setup augmented with a detailed government sector. Robots are modelled as an imperfect substitute for labor services. The model is calibrated to Bulgarian data for the period following the introduction of the currency board arrangement (1999-2020). The quantitative importance of the presence of robots in the economy is investigated for business cycle fluctuations inBulgaria. In the presence of robots, wages increase, but employment falls after a technology shock. However, for plausible parameter values, the effect is predicted to be quite small.

Suggested Citation

  • Aleksandar Vasilev, 2022. "A Real-Business-Cycle model with robots: Lessons for Bulgaria," Bulgarian Economic Papers bep-2022-01, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Jan 2022.
    • Handle: RePEc:sko:wpaper:bep-2022-01
    as

    Download full text from publisher

    File URL: https://www.uni-sofia.bg/index.php/eng/content/download/262679/1726220/file/BEP-2022-01.pdf
    File Function: First version, 2022
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:sko:wpaper:bep-2022-01. 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: Prof. Teodor Sedlarski (email available below). General contact details of provider: https://edirc.repec.org/data/fesofbg.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.