This graph (from yesterday's post) shows average growth rates for periods beginning in 1930. But the graph is a close-up. It only shows the years since 1952:
Graph #1 |
I'll keep the green line from the first graph, the "average annual growth" calculation from BEA. I'll toss the running average line, and make a new red line using the BEA calc on data from 1952 and after:
Graph #2 |
In the early years the red line has no such backlog, so big changes in the blue line create big changes in the red. After a dozen years or so, the red has a backlog of its own. Then it is not so much influenced by changes in the blue. And then we see the red and green run side-by-side.
By the time the red and green run side-by-side, both are more influenced by their past than by each new change in the blue line. So if somebody says average RGDP growth in the 1947-2017 period is 3.21%, it tells us more about the past than it does about today.
On the other hand, if the side-by-side years show a general downward trend, it means there are so many below-average years that they are dragging the anchor down. I conclude, then, that the important information in these long-term averages is not that the average value is 3.21% or 3.3% or whatever. The important information is that growth has been going downhill since the 1960s.
I go back to the first graph and this time keep the red line, the running average since 1930. I get rid of the green line and create a new one showing the running average since 1952. This time we compare running averages for two different start-dates.
Graph #3 |
We get the same behavior for running averages as we got for the BEA calculation. It turns out that the "backlog" is more significant than the calculation that makes use of it. To me this says the long-run average isn't worth much, except it shows that new growth keeps dragging the average down.
To finish up, I'm replacing both lines on the first graph with the "since 1952" data.
Graph #4 |
// The Excel file
No comments:
Post a Comment