Disinflation while unemployment was rising

In every month core CPI inflation had been falling for a quarter AND unemployment had been rising, what did unemployment do over the following year?

45 windows met these conditions and completed 12 months. US Unemployment Rate was higher 12 months later in 18 of them and lower in 27. The middle half of outcomes fell between -0.6 and 0.8. 1 further window has not yet run their full horizon.

What followed, across 45 completed windows

Higher after
18
Lower after
27
Middle half
-0.6 to +0.8
Full range
-2.2 to +3.5

Change in US Unemployment Rate over the 12 months after each match. Windows are listed below so any one can be checked.

Term structure

US Unemployment Rate measured 1, 3, 6 and 12 months after each matched episode, with the count of completed windows at each horizon — not a forecast path, the same distribution above asked again at three more calendar distances.

HorizonNHigher / lowerMiddle halfFull range
1m4617 / 20-0.1 to +0.1-0.4 to +0.4
3m4618 / 20-0.2 to +0.2-0.5 to +1.3
6m4621 / 25-0.3 to +0.35-0.7 to +7.4
12m4518 / 27-0.6 to +0.8-2.2 to +3.5

N is windows with a complete outcome at that horizon; a window that runs past the end of the record is excluded from it, not filled in. A horizon below the 5-window floor is marked thin the same way the 12 months result above is.

The conditions, in full

Generated from the same object that produced the numbers, so the description cannot drift from the computation.

  1. condition: CPILFESL year-over-year falling over 3 observations
  2. condition: UNRATE rising over 3 observations
  3. align: each condition is put onto the measured series' dates, taking the last observation on or before each, so windows and spans count in the measured series' own periods
  4. measure: UNRATE over the following 12 observations
  5. matches within 3 observations count as one episode

Every matching window

46 episodes, each dated. Consecutive months meeting the conditions count once.

BeganRan forUS Unemployment Rate thenAfterChange
Apr 19584 mo7.45.2-2.2
Aug 19594 mo5.25.6+0.4
Mar 196014 mo5.46.9+1.5
Aug 19622 mo5.75.4-0.3
Jan 19633 mo5.75.6-0.1
Oct 19641 mo5.14.2-0.9
Feb 19651 mo5.13.8-1.3
Jan 19672 mo3.93.7-0.2
Jun 19671 mo3.93.7-0.2
Oct 19672 mo43.4-0.6
Jul 19691 mo3.55+1.5
Apr 19701 mo4.65.9+1.3
Aug 19703 mo5.16.1+1
Jul 19713 mo65.6-0.4
Mar 19754 mo8.67.6-1
Dec 19761 mo7.86.4-1.4
Jul 19802 mo7.87.2-0.6
Mar 19814 mo7.49+1.6
Oct 198115 mo7.910.4+2.5
Sep 19841 mo7.37.1-0.2
Jun 19852 mo7.47.2-0.2
Feb 19863 mo7.26.6-0.6
Jun 19891 mo5.35.2-0.1
Oct 19892 mo5.35.9+0.6
Nov 199021 mo6.27+0.8
Aug 19951 mo5.75.1-0.6
Jan 19961 mo5.65.3-0.3
May 19961 mo5.64.9-0.7
Nov 19963 mo5.44.6-0.8
Jun 19991 mo4.34-0.3
May 20011 mo4.35.8+1.5
Sep 200110 mo55.7+0.7
Nov 20028 mo5.95.8-0.1
Nov 20051 mo54.5-0.5
Jan 20071 mo4.65+0.4
Jun 20074 mo4.65.6+1
Feb 20082 mo4.98.3+3.4
Oct 20085 mo6.510+3.5
Jun 20094 mo9.59.4-0.1
Apr 20101 mo9.99.1-0.8
Sep 20103 mo9.59-0.5
Dec 20122 mo7.96.7-1.2
Dec 20197 mo3.66.7+3.1
Jun 202315 mo3.64.1+0.5
Mar 20253 mo4.24.3+0.1
Nov 20252 mo4.5still running

Recompute this

Fetch CPILFESL UNRATE from the API or from FRED, apply each condition on the same dates, collapse consecutive matches, and measure the change over the following 12 months. The full rule is in the claims ledger.

This page counts and dates. It does not say what will happen next, and no window above is presented as more likely than another — MacroRadar publishes historical indicators, never forecasts.