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Median Unbiased Estimation of Bivariate Predictive Regression Models with Heavy-tailed or Heteroscedastic Errors
引用本文:朱复康 王德军. Median Unbiased Estimation of Bivariate Predictive Regression Models with Heavy-tailed or Heteroscedastic Errors[J]. 东北数学, 2007, 23(3): 263-271
作者姓名:朱复康 王德军
作者单位:Institute of Mathematics, Jilin University, Changchun, 130012
基金项目:The NNSF (10571073) of China, and 985 project of Jilin University.
摘    要:

关 键 词:二变量 中位数 估算值 方差分析
文章编号:1000-1778(2007)03-0263-09
收稿时间:2006-11-18
修稿时间:2006-11-18

Median Unbiased Estimation of Bivariate Predictive Regression Models with Heavy-tailed or Heteroscedastic Errors
ZHU Fu-kang and WANG De-hui. Median Unbiased Estimation of Bivariate Predictive Regression Models with Heavy-tailed or Heteroscedastic Errors[J]. Northeastern Mathematical Journal, 2007, 23(3): 263-271
Authors:ZHU Fu-kang and WANG De-hui
Affiliation:Institute of Mathematics, Jilin University, Changchun, 130012
Abstract:In this paper, we consider median unbiased estimation of bivariate predictive regression models with non-normal, heavy-tailed or heteroscedastic errors. We construct confidence intervals and median unbiased estimator for the parameter of interest. We show that the proposed estimator has better predictive potential than the usual least squares estimator via simulation. An empirical application to finance is given. And a possible extension of the estimation procedure to cointegration models is also described.
Keywords:bivariate predictive regression model   heavy-tailed error   median unbi-ased estimation
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