Dynamic Nonlinear Econometric Models : Asymptotic Theory /
The book provides an extensive discussion of asymptotic theory of M-estimators in the context of dynamic nonlinear models. The class of M-estimators contains least mean distance estimators (including maximum likelihood estimators) and generalized method of moments estimators. In addition to establis...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg,
1997.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | The book provides an extensive discussion of asymptotic theory of M-estimators in the context of dynamic nonlinear models. The class of M-estimators contains least mean distance estimators (including maximum likelihood estimators) and generalized method of moments estimators. In addition to establishing the asymptotic properties of such estimators, the book provides a detailed discussion of the statistical and probabilistic tools necessary for such an analysis. The book also gives a careful treatment of estimators of asymptotic variance covariance matrices for dependent processes. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xi, 312 pages) |
| ISBN: | 9783662034866 (electronic bk.) 3662034867 (electronic bk.) |