1993
DOI: 10.2307/2951764
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Tests for Parameter Instability and Structural Change With Unknown Change Point

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Cited by 3,485 publications
(3,293 citation statements)
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“…In principle, this is a rolling Chow (1960) breakpoint test (Andrews 1993). The basic test statistic is an F-value, which is computed as a normalized difference between the constraint residual sum of squares and the unconstraint residual sums of squares of the two sub-samples.…”
Section: Empirical Approachmentioning
confidence: 99%
“…In principle, this is a rolling Chow (1960) breakpoint test (Andrews 1993). The basic test statistic is an F-value, which is computed as a normalized difference between the constraint residual sum of squares and the unconstraint residual sums of squares of the two sub-samples.…”
Section: Empirical Approachmentioning
confidence: 99%
“…Most tests for structural breaks in the literature, like the celebrated Chow (1960) tests, and those for unknown or multiple break dates in Andrews (1993), Andrews and Ploberger (1994) and Bai and Perron (1998) are appropriate when the break is relatively long lasting and happens in the middle of a sample. The distribution of the corresponding test statistic is suitably found using asymptotics in which the number of observations before and after the break point go to infinity.…”
Section: Introductionmentioning
confidence: 99%
“…Yet, it is often at the end of a sample that researchers and policy-makers alike are interested in testing for instability. Andrews (2003) proposes a test for structural break which was shown to be particularly useful when the number of post-break observations is small. Monte Carlo results suggest that his test has reasonable size and power even when the number of post break observation is 1.…”
Section: Introductionmentioning
confidence: 99%
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