Two separate but similar questions.
I have some data that I'm interpolating (using quadratic match average), but some series have negative values after the interpolation. I want to remove the negative values but preserve the annual average of the interpolated data. Currently, I'm changing quarters with negative values to equal the annual value in all quarters later down the line, so I was wondering how to do that in Eviews. Other suggestions are welcome.
I did try linear last match interpolation, which interpolated without creating any negative values, but I'd like to avoid changing the quarterly profile too much if possible.
Similarly, I have some other data that I'm seasonally adjusting (using x12a), which has negative values after adjustment. Again, I'd like to remove the negative values while preserving the annual average and as much of the adjustment as can be preserved.
Negative values after interpolation and seasonal adjustment
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Re: Negative values after interpolation and seasonal adjustment
I think this is first an economic question (i.e. what exactly do you want to do with those negative values), and then a programming question.
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Re: Negative values after interpolation and seasonal adjustment
I'd like to remove them from the interpolated/adjusted data while keeping the annual average of the data the same. I assume this would involve proportioning the quarters differently in years with negative values.
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