Dear Statalist,
Our research has applied the Heckman self-selection model with the twostep
option. We have a crucial requirement to check our model specifications.
However, with the current build-in commends in STATA such as hettest,
whitetst, rvfplot, ovtest, linktst etc, we are unable to approaching the
regular checking on homoscedasticity, normality of residuals, non-linearity
and model specifications.
We are appreciated if you could provide any suggestions on STATA commends
can help us to cover this requirement as a necessary for our research. Or
possibly, are there any ad hoc model specifications requires to be checked
in relation to the robustness of our heckman estimation? Looking forward to
your response.
Best Regards,
Yang Li
Academic Staff and PhD Student
School of Accounting
University of Technology, Sydney
UTS +61 2 95143684, fax +61 2 95143669
The information contained in this e-mail is confidential. It is intended
soly for the addressee. If you receive this e-mail by mistake please
promptly inform us by reply e-mail and then delete the e-mail and destroy
any printed copy. You must not disclose or use in any way the information
in the e-mail. There is no warranty that this email is error or virus free.
If it is a private communication, care should be taken in opening it to
ensure that undue offence is not given.
--
UTS CRICOS Provider Code: 00099F
DISCLAIMER: This email message and any accompanying attachments may contain
confidential information. If you are not the intended recipient, do not
read, use, disseminate, distribute or copy this message or attachments. If
you have received this message in error, please notify the sender immediately
and delete this message. Any views expressed in this message are those of the
individual sender, except where the sender expressly, and with authority,
states them to be the views the University of Technology Sydney. Before
opening any attachments, please check them for viruses and defects.
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
