...
首页> 外文期刊>The econometrics journal >Erratum to: Testing Identification via Heteroskedasticity in Structural Vector Autoregressive Models
【24h】

Erratum to: Testing Identification via Heteroskedasticity in Structural Vector Autoregressive Models

机译:错误到:通过结构向量自回归模型中的异源性能测试识别

获取原文
获取原文并翻译 | 示例
           

摘要

Tests for identification through heteroskedasticity in structural vector autoregressive analysis are developed for models with two volatility states where the time point of volatility change is known. The tests are Wald-type tests for which only the unrestricted model, including the covariance matrices of the two volatility states, has to be estimated. The residuals of the model are assumed to be from the class of elliptical distributions, which includes Gaussian models. The asymptotic null distributions of the test statistics are derived, and simulations are used to explore their small-sample properties. Two empirical examples illustrate the usefulness of the tests in applied work.
机译:通过结构载体自回转分析中通过异源性瘢痕度识别的测试是为具有两个挥发性状态的模型开发的,其中已知波动性的时间点。 必须估计测试是沃尔德型测试,该测试只有不受限制的模型,包括两个波动状态的协方差矩阵。 假设模型的残差来自椭圆分布的类别,包括高斯模型。 导出测试统计信息的渐近空分布,使用仿真来探索其小样本属性。 两个经验例说明了应用工作中的测试的有用性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号