科学研究

科学研究

科研动态
学术日历
学术讲座
学术会议
论文发表
学术期刊
教研平台
数据库与软件资源
图书馆数据资源
下载专区
工作论文
科学研究
论文发表
当前位置是： 首页 -> 科学研究 -> 论文发表 -> 正文

Method of Moments Estimation and Identifiability of Semiparametric Nonlinear Errors-In-Variables Models

id：2136 时间：20131014 status：published 点击数：
杂志Journal of Econometrics   
作者Liqun Wang, Cheng Hsiao
正文This paper deals with a nonlinear errors-in-variables model where the distributions of the unobserved predictor variables and of the measurement errors are nonparametric. Using the instrumental variable approach, we propose method of moments estimators for the unknown parameters and simulation-based estimators to overcome the possible computational difficulty of minimizing an objective function which involves multiple integrals. Both estimators are consistent and asymptotically normally distributed under fairly general regularity conditions. Moreover, root-n consistent semiparametric estimators and a rank condition for model identifiability are derived using the combined methods of the nonparametric technique and Fourier deconvolution.
JEL-Codes：C13, C14, C15
关键词：Fourier deconvolution; Identifiability; Instrumental variables; Measurement error; Method of moments; Root-n consistency; Semiparametric estimator; Simulation-based estimator
TOP