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Your question is most interesting to me and it's solution has been my primary research for a number of years. There are a number of ways that "a structural break" may occur. If there is a change in the Intercept or a change in Trend in "the latter portion of the time series" then one would be better suited to perform Intervention Detection (N.B. this is ...


2

Using the suggested corrected data we have: The model to be tested is : Y(T)=B0 + B1*X(T) + A(T) The null hypothesis is that the set B0 and B1 are the same over the two states step 1 : Estimate this for STATE1 obtaining an error sum of squares SOS1 =.789 step 2 : Estimate this for STATE2 obtaining an error sum of squares SOS2 = 548.272 step 3 : Estimate ...


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You could go ahead and just add all these "alternatives" giving you a single vector. It tells you nothing about the interaction of those terms but if you are just looking into wether there was a structural break because of different investments it should suffice (as long as you have data for all alternatives, that is). Otherwise you'd probably have to use ...



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