牛津手册应用非参数和半参数计量经济学和统计

J. Racine, Liangjun Su, A. Ullah
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引用次数: 54

摘要

本书由Jeffrey Racine, Liangjun Su和Aman Ullah编辑,包含了非参数和半参数计量经济学和统计学的最新研究。这些数据驱动的模型试图取代过去的“经典”参数模型,这些模型是刚性的,通常是线性的。章节由领先的国际计量经济学家和统计学家强调计量经济学和非参数和半参数程序的统计方法之间的接口。他们提供了一个平衡的观点,在应用科学的分析和建模的新发展与横截面,时间序列,面板和空间数据集。该卷的主要主题包括:半参数模型和特殊回归方法的方法论;逆、不适定和适定问题;与加性模型相关的不同方法;筛回归估计,非参数和半参数回归模型,以及竞争近似模型的真误差;支持向量机及其违约概率建模随机过程的序列估计及其在计量经济学中的应用一类半线性时间序列模型的识别、估计和规范问题应用于非平稳或接近非平稳变量的非参数和半参数技术一组回归方程的估计;提出了一种分析外源处理分配的非参数模型的新方法。可在OSO:http://www.oxfordhandbooks.com/oso/public/content/oho_economics/9780199857944/toc.html本卷的贡献者- Herman J. Bierens Marine Carrasco Jean-Pierre Florens Jiti Gao Christian Hafner Bruce E. Hansen Wolfgang Karl Hardle Daniel J. Henderson Joel L. Horowitz Arthur Lewbel Qi李志鹏廖树杰Ma Esfandiar Maasoumi Enno Mammen Byeong u Park Christopher F. Parmeter Peter C. B. Phillips Dedy Dwi Prastyo Jeffrey S. Racine Eric Renault Melanie Schienle Liangjun苏一国孙Aman乌拉云,王立坚,杨永辉,张维多利亚·辛德-沃尔什
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Oxford handbook of applied nonparametric and semiparametric econometrics and statistics
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. Available in OSO: http://www.oxfordhandbooks.com/oso/public/content/oho_economics/9780199857944/toc.html Contributors to this volume - Herman J. Bierens Marine Carrasco Jean-Pierre Florens Jiti Gao Christian Hafner Bruce E. Hansen Wolfgang Karl Hardle Daniel J. Henderson Joel L. Horowitz Arthur Lewbel Qi Li Zhipeng Liao Shujie Ma Esfandiar Maasoumi Enno Mammen Byeong U. Park Christopher F. Parmeter Peter C. B. Phillips Dedy Dwi Prastyo Jeffrey S. Racine Eric Renault Melanie Schienle Liangjun Su Yiguo Sun Aman Ullah Yun Wang Lijian Yang Yonghui Zhang Victoria Zinde-Walsh
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