Can someone help with this problem?
I have panel data and I'm trying to identify panels with particular types
of trends. I have looked at -tsspell- but don't think it does what I'm
trying to do.
For example, I have data of the form:
company product year sales
100 4 1990 312
100 4 1991 400
100 4 1992 350
100 4 1993 280
100 4 1994 302
...
I have millions of observations like this (thousands of company-products
with about 40 years of data for each company-product)
What I'm looking for is a sample of company-products with either a
positive or a negative trend over time.
Most company-products look like the example above, where there is no
obvious trend (over a longer horizon of course). But there are some that
have a statistically significant trend, either positive or negative, and I
want to isolate those for further ananalysis. Would there be a way to do
this relatively quickly?
On a related point, I want to measure the speed it takes for a variable of
interest to reach a certain threshold. For example, for a company-product
that exhibits a trend, I want to look at how many years it takes for sales
to increase by a factor of x. If anyone knows of a way to do that, that
would be very helpful.
Thank you very much for your help.
Jason
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