IDEAS home Printed from https://ideas.repec.org/h/eme/aecozz/s0731-9053(03)17004-1.html
   My bibliography  Save this book chapter

Test Statistics And Critical Values In Selectivity Models

In: Maximum Likelihood Estimation of Misspecified Models: Twenty Years Later

Author

Listed:
  • R.Carter Hill
  • Lee C. Adkins
  • Keith A. Bender

Abstract

The Heckman two-step estimator (Heckit) for the selectivity model is widely applied in Economics and other social sciences. In this model a non-zero outcome variable is observed only if a latent variable is positive. The asymptotic covariance matrix for a two-step estimation procedure must account for the estimation error introduced in the first stage. We examine the finite sample size of tests based on alternative covariance matrix estimators. We do so by using Monte Carlo experiments to evaluate bootstrap generated critical values and critical values based on asymptotic theory.

Suggested Citation

  • R.Carter Hill & Lee C. Adkins & Keith A. Bender, 2003. "Test Statistics And Critical Values In Selectivity Models," Advances in Econometrics, in: Maximum Likelihood Estimation of Misspecified Models: Twenty Years Later, pages 75-105, Emerald Group Publishing Limited.
    • Handle: RePEc:eme:aecozz:s0731-9053(03)17004-1
    DOI: 10.1016/S0731-9053(03)17004-1
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1016/S0731-9053(03)17004-1/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://www.emerald.com/insight/content/doi/10.1016/S0731-9053(03)17004-1/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1016/S0731-9053(03)17004-1?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.

    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:eme:aecozz:s0731-9053(03)17004-1. 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: Emerald Support (email available below). General contact details of provider: .

    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.