The Asymptotic Variance Bound for Instrumental Variables Estimators
AbstractThe paper derives the asymptotic variance bound for instrumental variables (IV) estimators, and extends the Gauss-Markov theorem for the regressions with correlated regressors and regression errors. For some special class of models, the usual IV estimator attains the lower bound and becomes the best linear consistent estimator (BLCE). In general, however, the IV estimator has asymptotic variance strictly larger than the lower bound that we obtained. Out lower bound can be consistently estimated, so that we may compute the asymptotic relative efficiency (ARE) of the IV estimator. The notion of ARE can be used to evaluate th IV practice. This is illustrated with an application of our method to the Klein's simultaneous equations model.
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 InfoPaper provided by Institute of Economic Research, Seoul National University in its series Working Paper Series with number no10.
Date of creation: Mar 1999
Date of revision:
Instrumental variables estimator; asymptotic variance bound; best linear consistent estimator; asymptotic relative efficiency; simultaneous equations model;
This paper has been announced in the following NEP Reports:
- NEP-ALL-1999-07-28 (All new papers)
- NEP-ECM-1999-08-04 (Econometrics)
- NEP-ETS-1999-07-28 (Econometric Time Series)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Nelson, C. & Startz, R., 1988.
"Some Furthere Results On The Exact Small Sample Properties Of The Instrumental Variable Estimator,"
Discussion Papers in Economics at the University of Washington
88-06, Department of Economics at the University of Washington.
- Nelson, Charles R & Startz, Richard, 1990. "Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator," Econometrica, Econometric Society, vol. 58(4), pages 967-76, July.
- Charles R. Nelson & Richard Startz, 1988. "Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator," NBER Technical Working Papers 0068, National Bureau of Economic Research, Inc.
- Nelson, C. & Startz, R., 1988. "Some Furthere Results On The Exact Small Sample Properties Of The Instrumental Variable Estimator," Working Papers 88-06, University of Washington, Department of Economics.
- Buse, A, 1992. "The Bias of Instrumental Variable Estimators," Econometrica, Econometric Society, vol. 60(1), pages 173-80, January.
- Arthur Lewbel, 1997. "Constructing Instruments for Regressions with Measurement Error when no Additional Data are Available, with an Application to Patents and R&D," Econometrica, Econometric Society, vol. 65(5), pages 1201-1214, September.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Seo seung-Hee).
If references are entirely missing, you can add them using this form.