IDEAS home Printed from https://ideas.repec.org/a/aka/aoecon/v63y2013i1p77-97.html
   My bibliography  Save this article

The determinants of lifelong learning incidence across European countries (evidence from EU-SILC dataset)

Author

Listed:
  • Marco Biagetti

    (Department for Development and Cohesion Policies (DPS) of the Italian Ministry of Economic Development, Rome, Italy)

  • Sergio Scicchitano

    (Italian Ministry of Economic Development, Department of Economic and Social Cohesion, 161 via Sicilia 00187, Rome, Italy)

Abstract

The aim of this paper is to explore the potential of EU-SILC data to deepen our understanding of the determinants of workers’ formal lifelong learning (LLL) incidence in Europe. To this purpose, a twofold procedure is adopted here: first, LLL incidence is estimated for the total number of men and women taken separately, regardless of their country of residence; second, the information on the country where they live is taken into account and 21 country-specific equations are computed. Again, this is made for both sexes. This procedure allows us to shed light on cross-country gender differences. In the whole sample, our results show that for both men and women formal LLL incidence is significantly higher among young, better-educated, part-time and temporary workers, and lower among those who changed their job in the preceding year, are employed in small firms and have low-skilled occupations. When the above-mentioned separate equations are estimated for each country and for both sexes, relevant results emerge in the case of Scandinavian countries. Those results seem to be consistent with the implementation of the well-known “flexicurity” policy.

Suggested Citation

  • Marco Biagetti & Sergio Scicchitano, 2013. "The determinants of lifelong learning incidence across European countries (evidence from EU-SILC dataset)," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 63(1), pages 77-97, March.
    • Handle: RePEc:aka:aoecon:v:63:y:2013:i:1:p:77-97
    Note: Part of this research was carried out while Sergio Scicchitano was visiting the Queen Mary University of London and he would like to thank the School of Economics and Finance for its hospitality and support. We would like to thank Alberto Chilosi, Giuseppe Croce, Sergio de Stefanis, Maurizio Franzini, Marco Guerrazzi, and participants at the CRISS seminar, University “La Sapienza” of Rome (June 8, 2009), at AISSEC Conference, Perugia (June 25–27, 2009), at the seminars in the University of Pisa (September 14, 2009) and University of Salerno (October 19, 2009), for their valuable suggestions and comments. We are also grateful to the Editor and the two anonymous referees for their very helpful input. The views expressed in this article are those of the authors and, in particular, do not necessarily reflect those of the Ministry of Economic Development in Italy. The usual disclaimer applies.
    as

    Download full text from publisher

    File URL: http://akademiai.com/content/9220755817mu27vv/fulltext.pdf
    Download Restriction: subscription
    ---><---

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

    Citations

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


    Cited by:

    1. Francisco Guijarro, 2018. "Economic Recovery and Effectiveness of Active Labour Market Initiatives for the Unemployed in Spain: A Gender Perspective of the Valencian Region," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    2. Francisco Guijarro, 2018. "Characteristics of Unemployed People, Training Attendance and Job Searching Success in the Valencian Region (Spain)," Data, MDPI, vol. 3(4), pages 1-12, November.

    More about this item

    Keywords

    education; lifelong learning; human capital; European Union;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General

    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:63:y:2013:i:1:p:77-97. 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.