Inference Using Instrumental Variable Estimators
This paper studies inference performance of Instrumental Variables Estimators in situations where error terms are heteroskedastic and there are many instruments. In particular, performance of a estimator proposed by Hausman, Newey, Woutersen, Chao, and Swanson (2007) with the robust version of JIVE -proposed by Angrist, Imbens and Krueger (1999)- is analyzed. Theoretical results are presented for the robust t-statistics, which is mostly affected by the finite-sample bias of the estimator.
|Date of creation:||Apr 2008|
|Contact details of provider:|| Postal: Casilla No967, Santiago|
Phone: (562) 670 2000
Fax: (562) 698 4847
Web page: http://www.bcentral.cl/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:chb:bcchwp:464. 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: (Claudio Sepulveda)
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.