Table C.3
Relative contributions of predictor variables to goodness of fit of nested models of the association of self-employment with speed of closure of trajectories, Canada, 1998 to 2001

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Predictor variable2 Degrees of freedom Type 3 analysis of effects - Wald chi-square1
logit = (speedcls is 2)/ (speedcls is 1,3,4)3 logit = (speedcls is 3)/ (speedcls is 1,4)4 logit = (speedcls is 1)/ (speedcls is 4)5
B C D
Sex 1 4.5 0.0 0.9
Age group in 1996 2 34.0 4.1 169.6
Moderate wealth in 1996 - non homeowner 1 0.1 2.6 14.5
High wealth in 1996 - homeowner 1 4.7 0.0 16.7
Wealth increase proxy 1 2.5 0.3 2.8
Pension eligibility in 1996 1 4.4 0.8 0.9
Cultural background 3 12.4 1.9 15.4
Standard work history index in 1996 2 11.2 3.0 26.8
Marital status in 1996 3 8.4 8.8 5.3
Marital status change 1 0.3 0.5 1.0
Care responsibility change index 1 2.6 32.5 2.0
Other family retirement income reception 1 0.1 0.3 13.7
Health status change 1 0.3 1.7 4.4
Education in 1996 2 7.7 8.2 15.1
Occupation group in 1996 3 1.4 9.6 27.6
Self-employed in 1996 1 2.3 5.5 27.1

1. The rank ordering of Wald chi-square values is a rough indicator of the relative importance of each variable in contributing to the overall goodness of fit of the model. (To be accurate the variables must be mutually independent.)
2. Several of these variables are defined in the text of Appendix B.
3. PROC LOGISTIC is modeling the probability that speedcls is 2. The name "speedcls" refers to the four categories of speed of closure shown in Chart 15.2.
4. PROC LOGISTIC is modeling the probability that speedcls is 3.
5. PROC LOGISTIC is modeling the probability that speedcls is 4.
Source: Statistics Canada, Survey of Labour and Income Dynamics, longitudinal file.
Table source: Statistics Canada, 2008, New Frontiers of Research on Retirement: Technical Annex, catalogue number 75-515-XWE.