The Oxford handbook of applied nonparametric and semiparametric econometrics and statistics / edited by Jeffrey S. Racine, Liangjun Su, and Aman Ullah.
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Published: |
New York :
Oxford University Press,
[2014]
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Series: | Oxford handbooks.
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Format: | Electronic eBook |
Table of Contents:
- Machine generated contents note: pt. I METHODOLOGY
- 1.The Hilbert Space Theoretical Foundation of Semi-Nonparametric Modeling / Herman J. Bierens
- 2.An Overview of the Special Regressor Method / Arthur Lewbel
- pt. II INVERSE PROBLEMS
- 3.Asymptotic Normal Inference in Linear Inverse Problems / Eric Renault
- 4.Identification and Well-Posedness in Nonparametric Models with Independence Conditions / Victoria Zinde-Walsh
- pt. III ADDITIVE MODELS
- 5.Nonparametric Additive Models / Joel L. Horowitz
- 6.Oracally Efficient Two-step Estimation for Additive Regression / Lijian Yang
- 7.Additive Models: Extensions and Related Models / Melanie Schienle
- pt. IV 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 / Yonghui Zhang
- 10.Data-Driven Model Evaluation: A Test for Revealed Performance / Christopher F. Parmeter
- 11.Support Vector Machines with Evolutionary Model Selection for Default Prediction / Christian M. Hafner
- pt. V TIME SERIES
- 12.Series Estimation of Stochastic Processes: Recent Developments and Econometric Applications / Zhipeng Liao
- 13.Identification, Estimation, and Specification in a Class of Semilinear Time Series Models / Jiti Gao
- 14.Nonparametric and Semiparametric Estimation and Hypothesis Testing with Nonstationary Time Series / Qi Li
- pt. VI CROSS SECTION
- 15.Nonparametric and Semiparametric Estimation of a Set of Regression Equations / Yun Wang
- 16.Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment / Esfandiar Maasoumi.