Relationship between the probability that a worker experiences labor market churn and the worker’s predicted wage

realwage churn One month Three consecutive months
7.480884 9.7901%
9.187807 10.5088%
10.47396 9.3662%
11.63589 8.1423%
12.68453 6.9709%
13.64466 5.9325%
14.48068 5.2303%
15.2132 4.8484%
15.89337 4.6669%
16.61739 4.5671%
17.37792 4.4482%
18.19302 4.1060%
19.06374 4.0023%
20.04742 3.7575%
21.32327 3.6075%
22.96903 3.5500%
25.00872 3.5918%
27.62886 3.2848%
30.61915 2.7366%
35.92942 2.1860%
7.480884 21.9102% 
9.187807 23.4950% 
10.47396 20.8331% 
11.63589 18.1116% 
12.68453 15.4632% 
13.64466 13.1537% 
14.48068 11.5970% 
15.2132 10.7341% 
15.89337 10.3792% 
16.61739 10.1731% 
17.37792 9.8683% 
18.19302 9.1003% 
19.06374 8.8977% 
20.04742 8.3930% 
21.32327 8.0474% 
22.96903 7.9163% 
25.00872 7.9330% 
27.62886 7.2738% 
30.61915 6.0991% 
35.92942 4.8904% 

Notes: Churn is a transition from employment to nonemployment or nonemployment to employment at some point over either a one-month or three-month period. Nonemployment includes both unemployment and not in the labor force. The real wage is predicted by demographic characteristics, described in the methodology appendix to Cooper, Mishel, and Zipperer 2018.

Source: Real wage bins and churn rates are calculated by Cooper, Mishel, and Zipperer (2018) from monthly linked observations in the Current Population Survey Outgoing Rotation Groups and basic monthly CPS microdata files 1998–2016.

View the underlying data on epi.org.