Research

Home -> Research -> Publications -> Content

Research

Modified Two-Stage Least-Squares Estimators for the Estimation of A Structural Vector Autoregressive Integrated Process

Id：2065 Date：20131014 Status：published ClickTimes：
作者Cheng Hsiao, Siyan Wang
正文We consider the estimation of a structural vector autoregressive model of nonstationary and possibly cointegrated variables without the prior knowledge of unit roots or rank of cointegration. We propose two modified two-stage least-squares estimators that are consistent and have limiting distributions that are either normal or mixed normal. Limited Monte Carlo studies are also conducted to evaluate their finite sample properties. r 2005 Elsevier B.V. All rights reserved.
JEL-Codes：C32; C12; C13
关键词：Structural vector autoregression; Unit root; Cointegration; Asymptotic properties; Hypothesis testing
TOP