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variance ratio test

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variance ratio test [′ver·ē·əns ′rā·shō ‚test]
(statistics)
A technique for comparing the spreads or variabilities of two sets of figures to determine whether the two sets of figures were drawn from the same population. Also known as F test.


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These include the variance ratio test, the non-parametric runs tests and the unit root tests (2), (3), (7), (10).
To separate the random component from the systematic component reflecting the changes of an underlying economic model, we employ the variance ratio test first developed by Tintner (1940) and the corresponding tests statistics by Lo and MacKinlay (1988).
MacKinlay, 1989, "The Size and Power of the Variance Ratio Test in Finite Samples: A Monte Carlo Investigation," Journal of Econometrics 40, 203-238.
 
 
 
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