Advanced Search
MyIDEAS: Login

Endogenous variables in non-linear models with mixed effects: Inconsistence under perfect identification conditions?

Contents:

Author Info

  • Franz Buscha

    ()
    (Westminster Business School, University of Westminster)

  • Anna Conte

    (Strategic Interaction Group, Max Planck Institute of Economics, Jena)

Abstract

This paper examines the consequences of introducing a normally distributed effect into a system where the dependent variable is ordered and the explanatory variable is ordered and endogenous. Using simulation techniques we show that a naïve bivariate ordered probit estimator which fails to take a mixed effect into account will result in inconsistent estimates even when identification conditions are optimal. Our results suggest this finding only applies to non-linear endogenous systems.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://pubdb.wiwi.uni-jena.de/pdf/wp_2013_027.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics in its series Jena Economic Research Papers with number 2013-027.

as in new window
Length:
Date of creation: 01 Jul 2013
Date of revision:
Handle: RePEc:jrp:jrpwrp:2013-027

Contact details of provider:
Postal: Carl-Zeiss-Strasse 3, 07743 JENA
Phone: +049 3641/ 9 43000
Fax: +049 3641/ 9 43000
Web page: http://www.jenecon.de
More information through EDIRC

Related research

Keywords: bivariate probit; bivariate ordered probit; mixed effects; endogenous binary variables; constant parameters;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:jrp:jrpwrp:2013-027. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Markus Pasche).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.