Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics

Jeffrey Racine

ISBN 10: 0199857946 / ISBN 13: 9780199857944

Published by Oxford University Press Jan 2014, 2014

About this Item

Neuware - 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.

Seller Inventory # 9780199857944

Bibliographic Details

• Title: Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics
• Publisher: Oxford University Press Jan 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 0199857946
• ISBN 13: 9780199857944
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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 modeling of cross-section, time series, panel, and spatial data. Topics of the volume include: the methodology of semiparametric models and special regressor methods; inverse, ill-posed, and well-posed problems; methodologies related to additive models; sieve regression, nonparametric and semiparametric regression, and the true error of competing approximate models; support vector machines and their modeling of default probability; series estimation of stochastic processes and their application in Econometrics; identification, estimation, and specification problems in 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.

About the Author

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.