Table 3
Estimated relationship between outcome variables and high school certification — Regression results

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Estimated relationship between outcome variables and high school certification — Regression results
Table summary
This table displays regression results from seven different models that estimate the relationship between the highest level of educational attainment and various long-term labour market outcomes. The row headers describe the outcome considered. The column headers describe the sex of individuals, as well as the coefficient for the high school attainment variable and its standard error for men and for women.
  Men Women
  coefficient standard error coefficient standard error
Outcome variable  
Total cumulative earnings 83,234 *** 23,044 69,587 *** 17,412
Present value of total cumulative earnings 50,259 *** 14,125 47,129 *** 10,272
Number of years covered by an employer-sponsored pension plan 1.016 ** 0.384 0.882 † 0.349
Number of years employed 0.150 0.191 0.597 † 0.307
Number of years in a union 0.535 0.390 0.381 0.308
Number of permanent layoffs experienced -0.353 * 0.171 -0.057 0.072
Number of temporary layoffs experienced -0.321 0.391 0.267 0.263
†
significantly different from reference category (p<0.10)
*
significantly different from reference category (p<0.05)
**
significantly different from reference category (p<0.01)
***
significantly different from reference category (p<0.001)
Note(s):
The samples consist of 2,068 men and 2,093 women born in a Canadian province between 1964 and 1966 with no post-secondary studies and present in the Longitudinal Worker File (LWF) at least 18 of the 20 years from 1991 to 2010. Total earnings include wages and salaries and net self-employment income. Dollar figures are expressed in 2010 constant dollars. Present values assume a 5% discount rate. All outcome variables cover the period from 1991 to 2010. All models include controls for the number of completed years of elementary and secondary schooling, membership in a visible-minority group, Aboriginal people, first official language learned and still understood, long-term disability, province/territory of birth, and birth cohort. An ordinary least squares model is estimated when the outcome variable includes earnings. For other outcome variables, a negative binomial count model is estimated.
Source(s):
Statistics Canada, 1991 Census of Population–Longitudinal Worker File and CANSIM table 326-0021.
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