Estimation, inference, and specification analysis /
This book examines the consequences of misspecifications ranging from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and inference. Professor White first explores the underlying motivation for maximum-likelihood estimation, treats the...
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York :
Cambridge University Press,
1994.
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| Series: | Econometric Society monographs ;
no. 22 |
| Subjects: | |
| Online Access: | Table of contents Publisher description |
Table of Contents:
- 1. Introductory Remarks
- 2. Probability Densities, Likelihood Functions and Quasi-Maximum Likelihood Estimators
- 3. Consistency of the QMLE
- 4. Correctly Specified Models of Density
- 5. Correctly Specified Models of Conditional Expectation
- 6. The Asymptotic Distribution of the QMLE and the Information Matrix Equality
- 7. Asymptotic Efficiency
- 8. Hypothesis Testing and Asymptotic Covariance Matrix Estimation
- 9. Specification Testing Via m-Tests
- 10. Applications of m-Testing
- 11. Information Matrix Testing
- 12. Conclusion
- Appendix 1: Elementary Concepts of Measure Theory and the Radon-Nikodym Theorem
- Appendix 2: Uniform Laws of Large Numbers
- Appendix 3: Central Limit Theorems
- Assumption Index
- Definition, Lemma, Proposition, Theorem and Corollary.