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Modified Two-Stage Least-Squares Estimators for the Estimation of A Structural Vector Autoregressive Integrated Process
id: 2065
Date: 20131014
status: published
Times:
Magazines
135,2006,427-463
Author
Cheng Hsiao, Siyan Wang
Content
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
Keywords
Structural vector autoregression; Unit root; Cointegration; Asymptotic properties; Hypothesis testing
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