IDEAS home Printed from https://ideas.repec.org/a/vrs/eaiada/v23y2019i1p77-89n2.html
   My bibliography  Save this article

The Modified Lunn-Mcneil Model in the Assessment of Intensity of Exiting from the Unemployment

Author

Listed:
  • Bieszk-Stolorz Beata

    (University of Szczecin, Faculty of Economics and Management, Szczecin, Poland)

Abstract

The goal of the article is the assessment of the relative intensity of exiting from unemployment of long-term unemployed people with relation to their characteristics: gender, age, education, seniority and the number of subsequent registrations. The modified Lunn-McNeil model for various types of competing events: accepting the job, refusal and remaining causes of de-registration was used in the research. The modification consisted of the application of the stratified Cox model of non-proportional hazard, which allowed to assess the relative hazard after entering the state of long-term unemployment. The individual data of persons registered in the County [Powiat] Labour Office in Szczecin were used in the research. Age had the greatest impact on the change in relative hazard at the transition to long-term unemployment, while the level of education had no significant impact. The research made it possible to identify groups of people taking up work with the least intensity and refusing to take up jobs with the greatest intensity. These people should be taken into consideration during the process of creating the labour market policy.

Suggested Citation

  • Bieszk-Stolorz Beata, 2019. "The Modified Lunn-Mcneil Model in the Assessment of Intensity of Exiting from the Unemployment," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 23(1), pages 77-89, March.
    • Handle: RePEc:vrs:eaiada:v:23:y:2019:i:1:p:77-89:n:2
    DOI: 10.15611/eada.2019.1.06
    as

    Download full text from publisher

    File URL: https://doi.org/10.15611/eada.2019.1.06
    Download Restriction: no
    File URL: https://libkey.io/10.15611/eada.2019.1.06?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
    ---><---

    More about this item

    Keywords

    Lunn-McNeil model; non-proportional hazard model; competing events; long-term unemployment;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

    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:vrs:eaiada:v:23:y:2019:i:1:p:77-89:n:2. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.