IVPOIS: Stata module to estimate an instrumental variables Poisson regression via GMM
Abstractivpois implements a Generalized Method of Moments (GMM) estimator of Poisson regression and allows endogenous variables to be instrumented by excluded instruments, hence the acronym for Instrumental Variables (IV) in its name. Standard errors are estimated by bootstrapping. Poisson regression assumes E[y|X]=exp(Xb) to get a consistent estimate of b, so it is appropriate for a wide variety of models where the dependent variable is nonnegative (zero or positive), not just where the dependent variable measures counts of events. The central code was promulgated by Bill Gould at a Seminar in DC on November 2, 2007.
Download InfoIf 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.
Bibliographic InfoSoftware component provided by Boston College Department of Economics in its series Statistical Software Components with number S456890.
Programming language: Stata
Requires: Stata version 10
Date of creation: 11 Nov 2007
Date of revision: 03 Sep 2008
Note: This module should be installed from within Stata by typing "ssc install ivpois". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum).
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.