IDEAS home Printed from https://ideas.repec.org/p/fda/fdaddt/2017-06.html
   My bibliography  Save this paper

Faster estimation of discrete time duration models with unobserved heterogeneity using hshaz2

Author

Listed:
  • David Troncoso Ponce

Abstract

This article presents hshaz2, a new Stata command that uses d2 ml method to estimate discrete time duration models with unobserved heterogeneity. The main advantage of using hshaz2 is the gain in computation speed, that takes special relevance as the sample size increases.

Suggested Citation

  • David Troncoso Ponce, 2017. "Faster estimation of discrete time duration models with unobserved heterogeneity using hshaz2," Working Papers 2017-06, FEDEA.
  • Handle: RePEc:fda:fdaddt:2017-06
    as

    Download full text from publisher

    File URL: https://documentos.fedea.net/pubs/dt/2017/dt2017-06.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Marcel Jansen & David Troncoso-Ponce, 2018. "El impacto de los contratos para la formación y el aprendizaje en la inserción laboral de los jóvenes," Studies on the Spanish Economy eee2018-27, FEDEA.

    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:fda:fdaddt:2017-06. 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: Carmen Arias (email available below). General contact details of provider: https://www.fedea.net .

    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.