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Impact of Exogeneity and Measurement Errors on Vector Error Correction Model : 외생성과 측정오차가 벡터오차수정모형에 미치는 영향에 대하여

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Authors
홍한움
Advisor
조신섭
Major
자연과학대학 통계학과
Issue Date
2014-02
Publisher
서울대학교 대학원
Keywords
공적분외생성오차 수정 모형외생성그레인저 인과측정 오차
Description
학위논문 (박사)-- 서울대학교 대학원 : 통계학과, 2014. 2. 조신섭.
Abstract
In this thesis we consider two different topics of vector error correction model in cointegration analysis.
In chapter 3, we consider the impact of the exogeneity on the vector error correction model. We develop a VECM when vector processes contain exogenous processes. Our model generalize the condition of Hunter (1990)s cointegrating exogeneity, weakly exogeneity of Johansen (1992), Harbo et al. (1998), and Pesaran et al. (2000), and the non-causality of Mosconi and Gianini(1992) and Pradel and Rault (2003). We also develop least square estimator and maximum likelihood estimator of vector error correction model with exogenous processes. Asymptotic properties of estimators are derived and finite sample properties of the estimators are examined through a Monte Carlo simulation.
In chapter 4, we investigate the impact of the measurement errors to vector error correction model with general cointegration rank. We study the impact of measurement errors to estimators and likelihood ratio test statistic for cointegration. This is the extension of Hassler and Kuzin (2009)s study which derived asymptotic distribution of LR test statistic for the null hypothesis of no cointegration. We also investigate the impact of measurement errors on the test through a Monte Carlo simulation study.
Language
English
URI
https://hdl.handle.net/10371/121144
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College of Natural Sciences (자연과학대학)Dept. of Statistics (통계학과)Theses (Ph.D. / Sc.D._통계학과)
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