G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/t0130
来源IDTechnical Working Paper 0130
Efficient Tests for an Autoregressive Unit Root
Graham Elliott; Thomas J. Rothenberg; James H. Stock
发表日期1992-12-01
出版年1992
语种英语
摘要This paper derives the asymptotic power envelope for tests of a unit autoregressive root for various trend specifications and stationary Gaussian autoregressive disturbances. A family of tests is proposed, members of which are asymptotically similar under a general 1(1) null (allowing nonnormality and general dependence) and which achieve the Gaussian power envelope. One of these tests, which is asymptotically point optimal at a power of 50%, is found (numerically) to be approximately uniformly most powerful (UMP) in the case of a constant deterministic term, and approximately uniformly most powerful invariant (UMPI) in the case of a linear trend, although strictly no UMP or UMPI test exists. We also examine a modification, suggested by the expression for the power envelope, of the Dickey-Fuller (1979) t-statistic; this test is also found to be approximately UMP (constant deterministic term case) and UMPI (time trend case). The power improvement of both new tests is large: in the demeaned case, the Pitman efficiency of the proposed tests relative to the standard Dickey-Fuller t-test is 1.9 at a power of 50%. A Monte Carlo experiment indicates that both proposed tests, particularly the modified Dickey-Fuller t-test, exhibit good power and small size distortions in finite samples with dependent errors.
主题Econometrics ; Estimation Methods
URLhttps://www.nber.org/papers/t0130
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/561578
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GB/T 7714
Graham Elliott,Thomas J. Rothenberg,James H. Stock. Efficient Tests for an Autoregressive Unit Root. 1992.
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