The essays in this book explore important theoretical and applied advances in econometrics.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Part I. Higher-Order Asymptotics: 1. Edgeworth expansions for the wald and GMM statistics for nonlinear restrictions Bruce E. Hansen; 2. Moment selection and bias reduction for GMM in conditionally heteroskedastic models Guido M. Kuersteiner; Part II. Deficient Instruments: 3. Specification tests with instrumental variables and rank deficiency Yuichi Kitamura; 4. Asymptotic normality of single-equation estimators for the case with a large number of weak instruments John C. Chao and Norman R. Swanson; 5. Inference in partially identified instrumental variables regression with weak instruments Eric Zivot; Part III. Nonstationarity: 6. Extracting cycles from nonstationary data Dean Corbae and Sam Ouliaris; 7. Nonstationary nonlinearity: an outlook for new opportunities Joon Y. Park; 8. Multiple structural change models: a simulation analysis Jushan Bai and Pierre Perron; Part IV. LAD and Quantile Regression: 9. On efficient, robust and adaptive estimation in cointegrated models Douglas J. Hodgson; 10. Testing stationarity using m-estimation Roger Koenker and Zhijie Xiao; 11. Consistent specification testing for quantile regression models Yoon-Jae Whang; Part V. Nonstationary Panels: 12. Combination unit root tests for cross-sectionally correlated panels In Choi; 13. Nonlinear IV panel unit root tests Yoosoon Chang.
Part I. Higher-Order Asymptotics: 1. Edgeworth expansions for the wald and GMM statistics for nonlinear restrictions Bruce E. Hansen; 2. Moment selection and bias reduction for GMM in conditionally heteroskedastic models Guido M. Kuersteiner; Part II. Deficient Instruments: 3. Specification tests with instrumental variables and rank deficiency Yuichi Kitamura; 4. Asymptotic normality of single-equation estimators for the case with a large number of weak instruments John C. Chao and Norman R. Swanson; 5. Inference in partially identified instrumental variables regression with weak instruments Eric Zivot; Part III. Nonstationarity: 6. Extracting cycles from nonstationary data Dean Corbae and Sam Ouliaris; 7. Nonstationary nonlinearity: an outlook for new opportunities Joon Y. Park; 8. Multiple structural change models: a simulation analysis Jushan Bai and Pierre Perron; Part IV. LAD and Quantile Regression: 9. On efficient, robust and adaptive estimation in cointegrated models Douglas J. Hodgson; 10. Testing stationarity using m-estimation Roger Koenker and Zhijie Xiao; 11. Consistent specification testing for quantile regression models Yoon-Jae Whang; Part V. Nonstationary Panels: 12. Combination unit root tests for cross-sectionally correlated panels In Choi; 13. Nonlinear IV panel unit root tests Yoosoon Chang.
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