IDEAS home Printed from https://ideas.repec.org/a/aka/aoecon/v68y2018i4p549-572.html
   My bibliography  Save this article

Low Wages – Coincidence or a Result? Evidence from Poland

Author

Listed:
  • Maciej Ryczkowski

    (Department of Economics, Nicolaus Copernicus University, Torun and Labour Market Methodology Section, Statistical Office, Bydgoszcz, Poland)

  • Monika Maksim

    (Department of Human Resource Management, Nicolaus Copernicus University, Torun, Poland)

Abstract

The article evaluates the influence of a wide range of socio-demographic, job and company-related characteristics on the likelihood of low earnings by applying logistic regression on a broad range of Labour Force Survey data. We evidenced that the average impact of the company-related characteristics is three times stronger than the impact of personal characteristics. We also found that working full-time considerably decreases this risk of low wages, but company-related and personal characteristics (except for the kind of company’s economic activity) have not provided a rent (benefit) from working full-time. The underlying conclusion is that reforms decreasing the size of the low-wage sector in the former transition countries should be focused on targeted employment programmes enhancing transitions to more profitable economic activities instead of possibly maintaining the unprofitable industries at all costs. Additionally, the reforms should be concentrated on introducing employment regulations to harmonise the rules of employment among all contract types, which would put the part-timers and the underemployed on a more equal footing with fulltime workers especially in terms of pension schemes and access to training.

Suggested Citation

  • Maciej Ryczkowski & Monika Maksim, 2018. "Low Wages – Coincidence or a Result? Evidence from Poland," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 68(4), pages 549-572, December.
  • Handle: RePEc:aka:aoecon:v:68:y:2018:i:4:p:549-572
    as

    Download full text from publisher

    File URL: http://www.akademiai.com/doi/pdf/10.1556/032.2018.68.4.4
    Download Restriction: subscription
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    low wage earners; underemployment; primary labour market; working poor; wage inequality; Poland;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

    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:aka:aoecon:v:68:y:2018:i:4:p:549-572. 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: Kriston, Orsolya (email available below). General contact details of provider: https://akademiai.hu/ .

    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.