Instrumental variable estimation based on grouped data
The paper considers the estimation of the coefficients of a single equation in the presence of dummy intruments. We derive pseudo ML and GMM estimators based on moment restrictions induced either by the structural form or by the reduced form of the model. The performance of the estimators is evaluated for the non-Gaussian case. We allow for heteroscedasticity. The asymptotic distributions are based on parameter sequences where the number of instruments increases at the same rate as the sample size. Relaxing the usual Gaussian assumption is shown to affect the normal asymptotic distributions. As a result also recently suggested new specification tests for the validity of instruments depend on Gaussianity. Monte Carlo simulations confirm the accuracy of the asymptotic approach.
|Date of creation:||2000|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: +31 50 363 7185
Fax: +31 50 363 3720
Web page: http://ccso.eldoc.ub.rug.nl/Email:
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:dgr:rugccs:200009. 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: (Joke Bulthuis)
If references are entirely missing, you can add them using this form.