IDEAS home Printed from https://ideas.repec.org/p/rtr/wpaper/0280.html
   My bibliography  Save this paper

A first impact evaluation of the Italian Dignity Decree’s effects on young workers

Author

Listed:
  • Nicola Caravaggio

    (Università di Roma Tre)

Abstract

The so-called Dignity Decree (DD), entered into force in summer 2018, represented one of the main legislative interventions of employment protection within the Italian labor market. The aim of this work is to evaluate the impact of DD on the career paths of young workers (15-29) recently entered in the labor market. Specically, we focus on their probability of being employed after 1 year or more from the implementation of DD as well as the probability of reaching an open-ended contract within the same time horizons. The analysis relies on an exclusive sample of Compulsory Communications data using a Propensity Score Matching estimation. Results show a poor eect of the reform in boosting the persistence in the labor market. Nonetheless, the positive impact is more pronounced when focused on the probability of being employed with an open-ended contract, which increased by 2.3% after one year.

Suggested Citation

  • Nicola Caravaggio, 2024. "A first impact evaluation of the Italian Dignity Decree’s effects on young workers," Departmental Working Papers of Economics - University 'Roma Tre' 0280, Department of Economics - University Roma Tre.
  • Handle: RePEc:rtr:wpaper:0280
    as

    Download full text from publisher

    File URL: https://economia.uniroma3.it/wp-content/uploads/sites/5/file_locked/2024/03/WP_280.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Italian labor market; Dignity Decree; Employment; Propensity Score Matching;
    All these keywords.

    JEL classification:

    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

    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:rtr:wpaper:0280. 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: Telephone for information (email available below). General contact details of provider: https://edirc.repec.org/data/dero3it.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.