Table 5
Estimated relationship between total cumulative earnings and high school certification — Quantile regression results

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Estimated relationship between total cumulative earnings and high school certification — Quantile regression results
Table summary
This table displays quantile regression results from seven different models that estimate the relationship between the highest level of educational attainment and total earnings at specific quantiles. The row headers describe the quantile of total earnings 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
Quantile  
5th 17,625 † 12,521 13,279 *** 1,413
10th 55,518 ** 17,805 31,224 *** 5,007
25th 98,190 *** 23,710 46,202 *** 9,950
50th 96,367 *** 27,629 80,711 *** 13,498
75th 83,883 * 41,211 110,472 *** 19,553
90th 87,525 † 37,429 133,292 *** 36,406
95th 206,525 ** 69,297 179,272 ** 65,351
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 postsecondary 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. The analysis covers 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.
Source(s):
Statistics Canada, 1991 Census of Population–Longitudinal Worker File and CANSIM table 326-0021.
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