Fan, Yanqin, Gentry, Matthew and Li, Tong (2011) A new class of asymptotically efficient estimators for moment condition models. Journal of Econometrics, 162 (2). pp. 268-277. ISSN 0304-4076
Full text not available from this repository.Abstract
In this paper, we propose a new class of asymptotically efficient estimators for moment condition models. These estimators share the same higher order bias properties as the generalized empirical likelihood estimators and once bias corrected, have the same higher order efficiency properties as the bias corrected generalized empirical likelihood estimators. Unlike the generalized empirical likelihood estimators, our new estimators are much easier to compute. A simulation study finds that our estimators have better finite sample performance than the two-step GMM, and compare well to several potential alternatives in terms of both computational stability and overall performance.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.journals.elsevier.com/journal-of-econom... |
| Additional Information: | © Elsevier |
| Divisions: | Economics |
| Subjects: | H Social Sciences > HB Economic Theory |
| JEL classification: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling |
| Date Deposited: | 16 Oct 2012 11:22 |
| Last Modified: | 12 Dec 2024 00:01 |
| URI: | http://eprints.lse.ac.uk/id/eprint/46802 |
Actions (login required)
 |
View Item |
