IDEAS home Printed from https://ideas.repec.org/a/taf/irapec/v28y2014i2p154-180.html
   My bibliography  Save this article

The labour market and the distribution of earnings: an empirical analysis for Italy

Author

Listed:
  • Fabio Clementi
  • Michele Giammatteo

Abstract

Using four waves of data from the Participation Labour Unemployment Survey, a database of information on the Italian labour market supply, we address the question of earnings dispersion by applying a 'nested' decomposition procedure of the Theil inequality measure, which combines into a unified framework the standard decompositions by population subgroups and income sources. The empirical evidence obtained points to the key role played by the self-employees in shaping labour income inequality, especially at the upper extreme of the earnings distribution, and the emergence of non-standard forms of employment as an important feature of the contemporary workplace.

Suggested Citation

  • Fabio Clementi & Michele Giammatteo, 2014. "The labour market and the distribution of earnings: an empirical analysis for Italy," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(2), pages 154-180, March.
    • Handle: RePEc:taf:irapec:v:28:y:2014:i:2:p:154-180
    DOI: 10.1080/02692171.2013.838544
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02692171.2013.838544
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02692171.2013.838544?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Gianluca Busilacchi & Giovanni Gallo & Matteo Luppi, 2022. "I would like to but I cannot. The determinants of involuntary part-time employment: Evidence from Italy," Center for the Analysis of Public Policies (CAPP) 0177, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    2. Mauro Caselli & Andrea Fracasso & Arianna Marcolin & Sergio Scicchitano, 2023. "The reassuring effect of firms' technological innovations on workers' job insecurity," International Journal of Manpower, Emerald Group Publishing Limited, vol. 45(4), pages 754-778, October.
    3. Gianluca Busilacchi & Giovanni Gallo & Matteo Luppi, 2024. "I Would Like to but I Cannot: What Influences the Involuntariness of Part-Time Employment in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(2), pages 439-473, June.
    4. Mauro Caselli & Andrea Fracasso & Arianna Marcolin & Sergio Scicchitano, 2023. "Technological Innovations and Workers’ Job Insecurity: The Moderating Role of Firm Strategies," CESifo Working Paper Series 10673, CESifo.
    5. Oksana Nezhyvenko, 2018. "Informal Employment in Ukraine and European Union Transition Countries," Erudite Ph.D Dissertations, Erudite, number ph18-03 edited by Philippe Adair.
    6. Sauter, Caspar & Grether, Jean-Marie & Mathys, Nicole A., 2016. "Geographical spread of global emissions: Within-country inequalities are large and increasing," Energy Policy, Elsevier, vol. 89(C), pages 138-149.
    7. Esposito, Piero & Scicchitano, Sergio, 2020. "Educational mismatches, technological change and unemployment: evidence from secondary and tertiary educated workers," GLO Discussion Paper Series 465, Global Labor Organization (GLO).
    8. Berton, Fabio & Migheli Matteo, 2015. "Estimating the marginal rate of substitution between wage and employment protection," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201529, University of Turin.
    9. Bonacini, Luca & Gallo, Giovanni & Scicchitano, Sergio, 2020. "All that glitters is not gold. Effects of working from home on income inequality at the time of COVID-19," GLO Discussion Paper Series 541, Global Labor Organization (GLO).
    10. Luca Bonacini & Giovanni Gallo & Sergio Scicchitano, 2021. "Working from home and income inequality: risks of a ‘new normal’ with COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 303-360, January.
    11. Paolo Di Caro, 2017. "The contribution of tax statistics for analysing regional income disparities in Italy," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-27, March.

    More about this item

    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:taf:irapec:v:28:y:2014:i:2:p:154-180. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CIRA20 .

    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.