EFFECTS OF DATA AGGREGATION ON THE POWER OF TESTS FOR A UNIT-ROOT - A SIMULATION STUDY

被引：27

作者：

CHOI, I

机构：

[1] The Ohio State University, Colombus, OH

来源：

ECONOMICS LETTERS | 1992年 / 40卷 / 04期

关键词：

D O I：

10.1016/0165-1765(92)90133-J

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper studies the effects of data aggregation on the powers of the Phillips-Perron and augmented Dickey-Fuller tests for a unit root by simulation. It is shown that using the data generated by aggregating subinterval data results in lower powers of the tests. In addition, especially for the aggregate data, the Phillip-Perron tests appear to be more powerful than the augmented Dickey-Fuller test in finite samples, according to our experimental format.

引用

页码：397 / 401

页数：5

共 7 条

[1] HETEROSKEDASTICITY AND AUTOCORRELATION CONSISTENT COVARIANCE-MATRIX ESTIMATION
ANDREWS, DWK
[J]. ECONOMETRICA, 1991, 59 (03) : 817 - 858
[2] CHOI I, 1992, RESIDUAL BASED TEST
[3] FULLER WA, 1976, INTRO STATISTICAL TI
[4] TRENDS AND RANDOM-WALKS IN MACROECONOMIC TIME-SERIES - SOME EVIDENCE AND IMPLICATIONS
NELSON, CR
PLOSSER, CI
[J]. JOURNAL OF MONETARY ECONOMICS, 1982, 10 (02) : 139 - 162
[5] TOWARDS A UNIFIED ASYMPTOTIC THEORY FOR AUTOREGRESSION
PHILLIPS, PCB
[J]. BIOMETRIKA, 1987, 74 (03) : 535 - 547
[6] SAID SE, 1984, BIOMETRIKA, V71, P599
[7] TESTING THE RANDOM-WALK HYPOTHESIS - POWER VERSUS FREQUENCY OF OBSERVATION
SHILLER, RJ
PERRON, P
[J]. ECONOMICS LETTERS, 1985, 18 (04) : 381 - 386

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