Table 16.3
Adjusted patterns of association of public and private sector employment with flexibility of the trajectory of work-to-retirement transition during 1998 to 2001, for two nested models, Canada
(Sample restricted to persons with unclosed trajectories, who were employed throughout the third quarter of 1997, and who began their transitions during 1996 to 1997)

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Categories of the two-year class-of-worker variable Degrees of Freedom Model One logit = (flexscorg98 = 0) / (flexscorg98 = 1,2) Model Two logit = (flexscorg98 = 1) / (flexscorg98 = 2)
A1 B2
Parameter estimates and Wald chi-squares3
Employed public sector in 1996 and 1997 (1) 1 -0.9866 (9.6) -0.9762 (2.1)
Employed private sector in 1996 and 1997 (2) 1 -0.6021 (5.9) -0.6350 (1.6)
Self-employed in 1996 and 1997 (3) 1 0.3540 (1.8) -0.2943 (0.4)
Changed sector from 1996 to 1997 (4) 1 0.1239 (0.2) 0.1907 (0.1)
Other (5) 0 ref. ref.
  Odds ratios
1 vs 5 0.123 0.068
2 vs 5 0.180 0.095
3 vs 5 0.469 0.134
4 vs 5 0.373 0.218
1. PROC LOGISTIC is modeling the probability that flexscorg98 is 1,2. The name "flexscorg98" refers to the three categories of the index of flexibility shown in Chart 15.6.
2. PROC LOGISTIC is modeling the probability that flexscorg98 is 2.
3. Wald chi-squares are shown in parentheses. The standard errors underlying the chi-squares are only approximate; because their underlying estimates are not fully adjusted for the complexity of the survey design. The approximate adjustment involves standardizing the original survey weights so that their average is 1.0. Tests using more appropriate adjustment via bootstrap computations indicate that when the Wald chi-squares are 6.0 or greater, it can be considered that the parameter estimate is statistically significant at the 5% level or better, in the event that bootstrap standard errors were computed. When the Wald chi-squares are between 3.0 and 6.0, they can be considered to be statistically significant at a level between 5% and 15%.
Source: Survey of Labour and Income Dynamics, longitudinal file for Panel 2.
Table source: Statistics Canada, 2008, New Frontiers of Research on Retirement, catalogue number 75-511-XWE.