True or False?
1. The null hypothesis for the Quandt-Andrews test is that there is a unit root.
2. The null hypothesis for the Breusch-Pagan test is that there is a unit root.
3. It is impossible to estimate a model with a linear trend term γ1t and a quadratic trend term γ2t^2 because of perfect collinearity.
1> False
Quandt andrews test is done to check for structural breakpoint in the data. The null hypothesis is that there is no breakpoints between t1 and t2.
2> False
The null hypothesis of the B-P test is that the error terms are homoskedastic, it does not have anything to do with stationarity or unit root test.
3> .False
They are not perfectly collinear. Perfect collinear means that there will be a linear combination ay+by^2 which will equal to zero. Here. we will not have any such a and b. Thus, they are perfectly related but they are not perfectly collinear.
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