Hooray: The Second Derivative of the Unemployment Rate Improved
fivethirtyeight.com
fivethirtyeight.com
Sure, it sounds clever but taking the second derivative of noisy data is poor statistics as far I'm concerned.
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The $787 billion question, of course, is whether a decrease in the rate of job losses indeed portends a recovery, or whether such data is subject to false starts.
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I'm all for optimism, but there's enough short-term fluctuation in economic statistics that this is like getting the faintest whiff of baked goods and wondering whether we're all getting donuts next week.
From the help http://news.ycombinator.com/formatdoc :
Text surrounded by asterisks is italicized, if the character after the first asterisk isn't whitespace.
"actual" unemployment if computed the way it was in 1992: 19% for "shadowstats version of U6" versus "official U6"
Watch out for revisions as well: "February was revised down from -651k to -681k (-30,000) and March was revised from -663k to -699k (-36,000). See a pattern there? That's 66,000 jobs that were reported as existing but revised out later."
http://market-ticker.org/archives/1026-Unemployment-Fried-Da...
I agree that acceleration would be a much clearer term.
I tend to think of derivatives taken with respect to time in terms of high school physics.
Let x = postion
x' = velocity
x'' = acceleration
x''' = jerk
(and, incidentally, the 4th through 6th derivatives of position are known, respectively, as 'snap', 'crackle', and 'pop' ;-))
Not that this isn't relevant, but it's not an improvement in employment percentage, which is what people who don't need to speculate about the economy really care about.