This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. These data-driven models seek to replace the "classical " parametric models of the past, which were rigid and often linear. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures. They provide a balanced view of new developments in the analysis and modeling of applied sciences with cross-section, time series, panel, and spatial data sets. The major topics of the volume include: the methodology of semiparametric models and special regressor methods; inverse, ill-posed, and well-posed problems; different methodologies related to additive models; sieve regression estimators, nonparametric and semiparametric regression models, and the true error of competing approximate models; support vector machines and their modeling of default probability; series estimation of stochastic processes and some of their applications in Econometrics; identification, estimation, and specification problems in a class of semilinear time series models; nonparametric and semiparametric techniques applied to nonstationary or near nonstationary variables; the estimation of a set of regression equations; and a new approach to the analysis of nonparametric models with exogenous treatment assignment.
Les mer
This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures.
Les mer
Contents ; List of Contributors ; Preface ; PART 1: METHODOLOGY ; 1. The Hilbert Space Theoretical Foundation of Semi-Nonparametric Modeling ; Herman J. Bierens ; 2. An Overview of the Special Regressor Method ; Arthur Lewbel ; PART 2: INVERSE PROBLEMS ; 3. Asymptotic Normal Inference in Linear Inverse Problems ; Marine Carrasco, Jean-Pierre Florens, and Eric Renault ; 4. Identification and Well-Posedness in Nonparametric Models with Independence Conditions ; Victoria Zinde-Walsh ; PART 3: ADDITIVE MODELS ; 5. Nonparametric Additive Models ; Joel L. Horowitz ; 6. Oracally Efficient Two-Step Estimation for Additive Regression ; Shujie Ma and Lijian Yang ; 7. Additive Models: Extensions and Related Models ; Enno Mammen, Byeong U. Park, and Melanie Schienle ; PART 4: MODEL SELECTION AND AVERAGING ; 8. Nonparametric Sieve Regression: Least Squares, Averaging Least Squares, and Cross-Validation ; Bruce E. Hansen ; 9. Variable Selection in Nonparametric and Semiparametric Regression Models ; Liangjun Su and Yonghui Zhang ; 10. Data-Driven Model Evaluation: A Test for Revealed Performance ; Jeffrey S. Racine and Christopher F. Parmeter ; 11. Support Vector Machines with Evolutionary Model Selection for Default Prediction ; Wolfgang Karl Hardle, Dedy Dwi Prastyo, and Christian Hafner ; PART 5: TIME SERIES ; 12. Series Estimation of Stochastic Processes: Recent Developments and Econometric Applications ; Peter C.B. Phillips and Zhipeng Liao ; 13. Identification, Estimation, and Specification in a Class of Semi-Linear Time Series Models ; Jiti Gao ; 14. Nonparametric and Semiparametric Estimation and Hypothesis Testing with Nonstationary Time Series ; Yiguo Sun and Qi Li ; PART 6: CROSS SECTION ; 15. Nonparametric and Semiparametric Estimation of a Set of Regression Equations ; Aman Ullah and Yun Wang ; 16. Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment ; Daniel J. Henderson and Esfandiar Maasoumi
Les mer
Selling point: The most up-to-date volume on the latest developments in the fields of nonparametric and semiparametric econometrics and statistics
Jeffrey S. Racine is a Professor in the Department of Economics and the Graduate Program in Statistics in the Department of Mathematics and Statistics at McMaster University, where he holds the Senator William McMaster Chair in Econometrics. He received his Ph.D. in economics from the University of Western Ontario. He is currently the Associate Editor of Econometric Reviews and The Journal of Econometric Methods. Liangjun Su is a Professor of Economics in the School of Economics at Singapore Management University. He received his PhD in economics from the University of California at San Diego. He was a recipient of the Lee Kuan Yew Fellowship for Research Excellence in 2011. He is an Associate Editor for Econometric Theory and Journal of Econometrics. Aman Ullah is a Distinguished Professor and Chair in the Department of Economics at the University of California, Riverside. He received his Ph.D. in economics from the Delhi School of Economics at University of Delhi, India. Dr. Ullah is currently a member of the editorial boards of Econometric Reviews, Empirical Analysis, and Journal of Quantitative Economics, among others.
Les mer
Selling point: The most up-to-date volume on the latest developments in the fields of nonparametric and semiparametric econometrics and statistics

Produktdetaljer

ISBN
9780199857944
Publisert
2014
Utgiver
Oxford University Press Inc
Vekt
1043 gr
Høyde
249 mm
Bredde
180 mm
Dybde
33 mm
Aldersnivå
UP, UU, 05
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
558

Biografisk notat

Jeffrey Racine is Professor in the Department of Economics and the Department of Mathematics and Statistics as well as Senator William McMaster Chair in Econometrics at McMaster University. Liangjun Su is Associate Professor in the School of Economics at Singapore Management University and in the Guanghua School of Management at Peking University. Aman Ullah is Distinguished Professor in the Department of Economics at University of California, Riverside.