TABLE 2.
Annual income, $ | Time period | APC (P) | Pairwise comparisons |
P for pairwise comparisons*
|
|
---|---|---|---|---|---|
Coincident | Parallel | ||||
Men | |||||
All | 1985–2009 | −0.41 (0.48) | |||
<47,000 (low) | 1985–2009 | +0.95 (0.03) | Low versus high | <0.01 | 0.01 |
47,000 to 85,000 (average) | 1985–2009 | −0.44 (0.19) | Low versus average | <0.01 | <0.01 |
>85,000 (high) | 1985–2009 | −1.83 (0.03) | Average versus high | 0.04 | 0.15 |
Women | |||||
All | 1985–2009 | −0.24 (0.37) | |||
<47,000 (low) | 1985–1992 | +8.07 (0.01) | Low versus high | 0.01 | 0.02 |
1992–2009 | +0.04 (0.94) | ||||
47,000 to 85,000 (average) | 1985–2009 | −0.63 (0.05) | Low versus average | <0.01 | <0.01 |
>85,000 (high) | 1985–2009 | −1.86 (0.07) | Average versus high | 0.38 | 0.20 |
The test of coincidence assesses whether two Joinpoint regression functions are identical and the test of parallelism assesses whether the two regression mean functions are parallel