ZeroHedge and EJ Antoni assert sure, counting on the family collection…
Determine 1: Whole change in civilian employment (daring black), change attributable to authorities employment (blue bar), to personal (tan bar). Supply: BLS CPS, and writer’s calculations.
If it appears implausible that authorities employment ought to flip-flop between optimistic and destructive values, then you definately may be excused. The family survey is beneficial for a lot of issues, however determining month-to-month modifications in subcategories will not be essentially one in all them. For example, evaluate in opposition to the corresponding graph, utilizing the institution survey information.
Determine 2: Whole change in civilian employment (daring black), change attributable to authorities employment (blue bar), to personal (tan bar). Supply: BLS CES, and writer’s calculations.
The family survey is well-acknowledged to be extremely risky, as proven in Determine 3:
Determine 3: First log distinction of CES nonfarm payroll employment (blue), of CPS employment adjusted to nonfarm payroll idea (purple). NBER outlined peak-to-trough recession dates shaded grey. Supply: BLS, NBER, and writer’s calculations.
So too for presidency employment (in % phrases):
Determine 4: First log distinction of CES authorities employment (blue), of CPS authorities employment (purple). NBER outlined peak-to-trough recession dates shaded grey. Supply: BLS, NBER, and writer’s calculations.
That is why ZeroHedge was compelled to resort to utilizing CPS information, and CES not-seasonally adjusted numbers. Wow.
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