Education, learning and training: Research Paper Series
The Impact of Short-duration Credentials After an Undergraduate Degree on Labour Market Outcomes

by Aimé Ntwari and Eric Fecteau

Release date: October 16, 2020

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Overview of the study

  • Of the 102,865 graduates who earned an undergraduate degree from a public postsecondary institution in Canada before the age of 25 in 2010, 34,715 (33.7%) completed one or more additional educational qualification between 2010 and 2016, either a degree, a diploma, a certificate or a combination of various qualifications. Of these individuals, 5,370 (15.5%) completed only one additional postsecondary certificate or diploma, called a short-duration credential in this study: two-thirds (3,555) at the college level and one-third (1,815) at the university level. These 5,370 individuals are the focus of this study which measures the impact of a short-duration credential completed after a bachelor degree.
  • BHASE (non-STEM) graduates were more likely to complete a short-duration credential after their undergraduate degree than STEM graduates. More than four fifths (82.7%) of graduates who obtained a short-duration credential had obtained their 2010 undergraduate degree in a BHASE field of study. This represented a 5.4 percentage points higher proportion compared to the proportion of BHASE graduates among the group without any additional short-duration credential.
  • While one third (33.3%) of graduates with an additional short-duration credential earned their second qualification in the same field of study as their undergraduate degree, large outflows were observed in the fields of “Social and behavioural sciences” and “Arts and humanities” towards fields related to “Business and administration” (35.0% and 27.0%, respectively).
  • Comparing two years before and two years after earning an additional short-duration credential, the proportion of graduates employed in “low value-added service industries” fell from 22.1% to 9.9%. Similarly, unionization rate was 42.4% two years after completion (+4.6 percentage points compared to two years before) and rate of participation in a pension plan was 46.5% (+16.3 percentage points compared to two years before).
  • Although a large proportion of graduates who completed a short-duration credential started with a lower employment income and returned to school full-time, their median employment income two years before and two years after completing a short-duration credential rose faster, almost to the level of those who did not go back to school, in almost all fields of study.
  • In 2017, graduates who had earned an undergraduate degree in 2010 but did not seek an additional short-duration credential earned more than those who had completed an additional short-duration credential between 2011 and 2016. However, this gap was mostly due to the starting level of employment income of both groups, and narrows if controlled for the other factors.

1. Introduction

Both in Canada and around the world, the labour market is constantly changing and requires the maintenance of skills and acquisition of knowledge focused on what is needed with the transformation of industries. These changes affect the behaviour of workers, not only in Canada, but in all developed and emerging countries. School-to-work transitions have become the subject of interest for employers, employees, students and decision-makers. To meet these labour market requirements, many Canadians supplement their post-secondary education with the addition of short-duration credentials, often seen as a specialization tool.

The contribution of short-duration credentials (certificates or diplomas), completed after undergraduate studies, to labour market outcomes is a subject of interest due to their increased popularity and also in terms of aligning skills with labour market needs. However, very few studies have analyzed the impact of short-duration credentials on the career advancement of bachelor’s degree holders.

Using the Education and Labour Market Longitudinal Platform (ELMLP),Note  which creates an environment where administrative data from the Postsecondary Student Information System (PSIS) can be linked to other databases, this article examines the path followed by students under 25 years of age,Note  who obtained a first undergraduate degree at a public post-secondary institution in Canada in 2010, followed by a post-secondary short-duration credential (either a baccalaureate, a post-baccalaureate or a college certificate or diploma)Note  in the following six years. They are referred to as “short” as the typical length of these types of credentials is between one and two years.

The first section of this article analyzes the profile of graduates aged 25 and under with an undergraduate degree who completed an additional short-duration credential compared with those who did not complete any additional educational qualifications. Next, the article explores changes in location and field of study between the undergraduate degree and the short-duration credential. In the third section, the article provides an overview of the evolution of select employment quality indicators, including employment income. Finally, the last section presents factors that explain the largest variability in the employment income between the two groups.

2. Profile of undergraduate degree holders from public postsecondary institutions in Canada

“Stackable credentials” is a term that is commonly used to describe the accumulation of educational qualifications. This concept invokes the image of assembly and alludes to LEGO blocks. Like building with LEGO, this stacking can be vertical, with students completing higher and higher levels of education (traditional paths); horizontal, with students accumulating credentials without any hierarchy, instead aiming to acquire different skills (non-traditional paths); or a combination of bothNote .

Of the 102,865Note  graduates who earned an undergraduate degree before the age of 25 in 2010 from a public postsecondary institution, 34,715 (33.7%) completed at least one additional educational qualification between 2010 and 2016, either a degree, a diploma, a certificate or a combination of various qualifications at the undergraduate, graduate or college level. The remaining 68,150 students did not earn any additional educational qualification.Note  Of those who completed an additional educational qualification, 15.5% (5,370) completed only one additional short-duration credential, either a college-level or university-level certificate or diploma, within the six subsequent years. The graduates who completed an additional short-duration credential are referred to as the “Bac+” group and those who did not earn any additional educational qualification are referred to as the “Bac” group. The focus on the “Bac+” group aims to measure the value added by a short-duration credential earned after an undergraduate degree on labour market outcomes.

Of the 5,370 graduates in the “Bac+” group, two-thirds (3,555) completed a short-duration credential at the college level and one-third (1,815) at the university level (Figure 1). Graduates in undergraduate degree programs were more likely to complete an additional short-duration credential in the first few years following completion of their undergraduate program in 2010. Of those in the “Bac+” group, 24.3% earned their second short-duration credential in 2011, 25.6% in 2012, 18.6% in 2013, 14.8% in 2014, 9.5% in 2015 and 7.2% in 2016.

Figure 1: Distribution of graduates who were under 25 years of age when they earned an undergraduate degree in 2010, by type of additional short-duration credential and the year it was completed

Description for Figure 1 

This figure is a hierarchy diagram (also known as a tree diagram) displaying various level of details about the type of short-duration credential for the 2010 undergraduate degree graduates.

Description: This figure is a hierarchy diagram (also known as a tree diagram) displaying various level of details about the type of short-duration credential for the 2010 undergraduate degree graduates.
Table summary
This table displays the results of Description: This figure is a hierarchy diagram (also known as a tree diagram) displaying various level of details about the type of short-duration credential for the 2010 undergraduate degree graduates. . The information is grouped by Parent Hierarchy (appearing as row headers), Type of short-duration credential, Graduation year for short-duration credential and Number of graduates (appearing as column headers).
Parent Hierarchy Type of short-duration credential Graduation year for short-duration credential Number of graduates
Top level No additional educational qualification Note ...: not applicable 68,150
One additional short-duration credential 2011 1,305
2012 1,375
2013 1,000
2014 795
2015 510
2016 385
Other pathways Note ...: not applicable 29,345
One additional short-duration credential One additional college-level short-duration credential 2011 810
2012 895
2013 690
2014 555
2015 345
2016 260
One additional university-level short-duration credential 2011 495
2012 480
2013 310
2014 235
2015 170
2016 125
One additional college-level short-duration credential Career, technical or professional training short-duration credential 2011 245
2012 555
2013 480
2014 415
2015 270
2016 195
Post career, technical or professional training short-duration credential 2011 565
2012 340
2013 205
2014 140
2015 80
2016 65
One additional university-level short-duration credential Undergraduate level short-duration credential 2011 180
2012 260
2013 165
2014 125
2015 65
2016 50
Post-baccalaureate non-graduate level short-duration credential 2011 45
2012 85
2013 60
2014 45
2015 45
2016 30
Master's level short-duration credential 2011 270
2012 135
2013 90
2014 60
2015 65
2016 40

In general, women make up a larger share than men of undergraduate degree holders, and they made up an even larger share in the group of graduates with an additional short-duration credential. They represented 60.5% (41,240) of the “Bac” group, but 72.1% (3,870) of the “Bac+” group (Table 1), meaning that, compared with men, they had a greater tendency to pursue a short-duration credential, when not adjusting for other factors.

At the level of the province of study,Note  the distribution of members of the “Bac+” group was more or less comparable to that of “Bac” group, with the exception of British Columbia (4.3 percentage points higher) and Alberta (2.8 percentage points lower).

Graduates in BHASE (non-STEM)Note  fields of study had a higher propensity to pursue a short-duration credential after a first undergraduate degree since they formed a larger proportion of the group having acquired an additional short-duration credential, that is to say 82.7% of the “Bac+” group compared to a proportion of 77.3% of the “Bac” group. Within this group of BHASE graduates, graduates of “Social and behavioral sciences” displayed a particularly high propensity to acquire an additional short-duration credential since they represented 34.2% of the “Bac+” group compared to 21.2% of the “Bac” group; to a lesser degree, graduates of “Arts and Humanities” also had a relatively strong propensity to pursue an additional short-duration credential, since they formed 18.5% of the “Bac+” group but 12.7% of the “Bac” group.


Table 1
Distribution by gender, province of study and field of studies of the 2010 undergraduate degree
Table summary
This table displays the results of Distribution by gender "Bac" group and "Bac+" group, calculated using number and percent units of measure (appearing as column headers).
"Bac" group "Bac+" group
number percent number percent
Gender
Men 26,910 39.5 1,495 27.9
Women 41,240 60.5 3,870 72.1
Province
Newfoundland and Labrador 810 1.2 45 0.8
Prince Edward Island 190 0.3 30 0.6
Nova Scotia 2,655 3.9 275 5.1
New Brunswick 1,610 2.4 115 2.1
Quebec 11,820 17.3 965 18.0
Ontario 34,825 51.1 2,650 49.4
Manitoba 1,730 2.5 105 2.0
Saskatchewan 1,530 2.2 80 1.5
Alberta 5,940 8.7 315 5.9
British Columbia 7,040 10.3 785 14.6
Field of study
Science and science technology 7,610 11.2 790 14.7
Engineering and engineering technology 5,870 8.6 75 1.4
Mathematics and computer and information science 2,015 3.0 65 1.2
Business and administration 15,470 22.7 800 14.9
Arts and humanities 8,680 12.7 995 18.5
Social and behavioural sciences 14,450 21.2 1,835 34.2
Legal professions and studies 195 0.3 25 0.5
Health care 4,705 6.9 380 7.1
Education and teaching 6,160 9.0 215 4.0
Trades, services, natural resources and conservation 2,995 4.4 185 3.4

“Engineering, computer and information science” graduates were under-represented among graduates who acquired an additional short-duration credential, representing 8.6% of the “Bac” group but only 1.4% of the “Bac+” group. According to 2016 census dataNote , graduates in this field of study (as well as those in the health field) were the most likely to work in jobs closely related to their field of study. Therefore, there may be a correlation between not having a job related to one’s field of study and pursuing an additional short-duration credential.

3. Comparison of the characteristics of the first and second educational qualifications

We have previously seen that graduates of certain fields of study are more likely to acquire an additional short-duration credential. To what extent, however, do they acquire this new credential in a similar or different field of study? The data shows that it seems to vary depending on the field of study associated with the first educational qualification. However, the distribution pattern of the second field of study could also be linked to the provision of short-duration credentials by institutions which could be more frequent in certain fields, in order to meet the needs of the labor market.

Of the graduates in the “Bac+” group, one-third (33.3%) obtained their short-duration credential in the same field of study as their 2010 Undergraduate degreeNote . This proportion was much higher for some specific fields of study such as “Health care” (86.8%) or “Business and administration” (75.0%). Individuals in the fields of “Arts and humanities” (12.5%), “Mathematics and computer and information science” (16.7%), “Science and science technology” (17.1%), and “Engineering and engineering technology” (20.0%) generally completed their short-duration credential in a different field of study.


Table 2
Profile of the field of study transition between the first and second educational qualification
Table summary
This table displays the results of Profile of the field of study transition between the first and second educational qualification. The information is grouped by Field of study of the 2010 undergraduate degree (appearing as row headers), Total "Bac+" group, Short-duration credential in the same field of study, Short-duration credential in a different field of study and Same field of study rate, calculated using Number and percent units of measure (appearing as column headers).
Field of study of the 2010 undergraduate degree Total "Bac+" group Short-duration credential in the same field of study Short-duration credential in a different field of study Same field of study rate
Number percent
Science and science technology 790 135 655 17.1
Engineering and engineering technology 75 15 60 20.0
Mathematics and computer and information science 60 10 50 16.7
Business and administration 800 600 200 75.0
Arts and humanities 1,000 125 875 12.5
Social and behavioural sciences 1,835 405 1,430 22.1
Legal professions and studies 25 10 15 X
Health care 380 330 50 86.8
Education and teaching 215 115 100 53.5
Trades, services, natural resources and conservation 190 45 145 23.7
Total 5,370 1,790 3,580 33.3

If we compare the fields of study of the first and short-duration credential, large outflows are also observed in “Social and behavioural sciences” and in “Arts and humanities” toward fields of study related to “Business and administration”. Of the 1,830 graduates in the “Bac+” group who earned their undergraduate degree in “Social and behavioural sciences” in 2010, 640 graduates (35.0%) completed their short-duration credential in “Business and administration”, and 165 (9.0%) in “Health care”. Similarly, of the 1,000 graduates in the “Bac+” group who earned their undergraduate degree in “Arts and humanities” in 2010, 270 (27.0%) completed their additional short-duration credential in “Business and administration”, and 220 (22.0%) in the field of “Social and behavioural sciences” (see figure 2 and table 3).

Figure 2: Profile of the transition between the first and second fields of study

Description for Figure 2 

This figure is a Sankey diagram based on the counts of table 3.

This figure is a Sankey diagram based on the counts of table 3.
Table summary
This table displays the results of Description: This figure is a Sankey diagram based on the counts of table 3.. The information is grouped by Field of study of the 2010 undergraduate degree (appearing as row headers), Field of study of the additional short educational qualification and Graduates (appearing as column headers).
Field of study of the 2010 undergraduate degree Field of study of the additional short educational qualification Graduates
Arts and humanities Arts and humanities 125
Arts and humanities Health care 55
Arts and humanities Business and administration 270
Arts and humanities Social and behavioural sciences 220
Arts and humanities Other 330
Health care Arts and humanities 5
Health care Health care 330
Health care Business and administration 10
Health care Social and behavioural sciences 5
Health care Other 30
Business and administration Arts and humanities 25
Business and administration Health care 30
Business and administration Business and administration 600
Business and administration Social and behavioural sciences 55
Business and administration Other 90
Social and behavioural sciences Arts and humanities 95
Social and behavioural sciences Health care 165
Social and behavioural sciences Business and administration 640
Social and behavioural sciences Social and behavioural sciences 405
Social and behavioural sciences Other 525
Other Arts and humanities 50
Other Health care 345
Other Business and administration 290
Other Social and behavioural sciences 80
Other Other 590

Table 3
Profile of the transition between the first and second fields of study
Table summary
This table displays the results of Profile of the transition between the first and second fields of study. The information is grouped by Field of study of the 2010 undergraduate degree (appearing as row headers), Field of study of the additional short educational qualification, Graduates and percent of the field of study, calculated using number and percent of the field of study units of measure (appearing as column headers).
Field of study of the 2010 undergraduate degree Field of study of the additional short educational qualification Graduates percent of the field of study
number percent of the field of study
Arts and humanities Arts and humanities 125 12.5
Arts and humanities Health care 55 5.5
Arts and humanities Business and administration 270 27.0
Arts and humanities Social and behavioural sciences 220 22.0
Arts and humanities Other 330 33.0
Health care Arts and humanities 5 1.3
Health care Health care 330 86.8
Health care Business and administration 10 2.6
Health care Social and behavioural sciences 5 1.3
Health care Other 30 7.9
Business and administration Arts and humanities 25 3.1
Business and administration Health care 30 3.8
Business and administration Business and administration 600 75.0
Business and administration Social and behavioural sciences 55 6.9
Business and administration Other 90 11.3
Social and behavioural sciences Arts and humanities 95 5.2
Social and behavioural sciences Health care 165 9.0
Social and behavioural sciences Business and administration 640 35.0
Social and behavioural sciences Social and behavioural sciences 405 22.1
Social and behavioural sciences Other 525 28.7
Other Arts and humanities 50 3.7
Other Health care 345 25.5
Other Business and administration 290 21.4
Other Social and behavioural sciences 80 5.9
Other Other 590 43.5

Regarding the transition between provinces of study between the first and second educational qualifications, we see that the majority (90.2%) of graduates remained in the same province for both of their graduations (see table 4).


Table 4
Profile of the provincial transition between the first and second educational qualifications
Table summary
This table displays the results of Profile of the provincial transition between the first and second educational qualifications. The information is grouped by Field of study of the 2010 undergraduate degree (appearing as row headers), Total "Bac+" group, Short-duration credential in the same province, Short-duration credential in a different province and Same province rate, calculated using number and percent units of measure (appearing as column headers).
Field of study of the 2010 undergraduate degree Total "Bac+" group Short-duration credential in the same province Short-duration credential in a different province Same province rate
number percent
Newfoundland and Labrador 50 25 25 50.0
Prince Edward Island 25 15 10 X
Nova Scotia 275 160 115 58.2
New Brunswick 115 50 65 43.5
Quebec 965 950 15 98.4
Ontario 2,650 2,510 140 94.7
Manitoba 105 80 25 76.2
Saskatchewan 80 60 20 75.0
Alberta 315 250 65 79.4
British Columbia 790 745 45 94.3
Total 5,370 4,845 525 90.2

4. Evolution of select employment quality indicators before and after obtaining the second educational qualification

Tax data available in the T1 Family File (T1FF) can be used to measure the added value of obtaining a short-duration credential by examining some employment quality indicators in the “Bac+” group both two years before and two years after obtaining the additional credentialNote .

One of these employment quality indicators is the proportion of workers in “low value-added service industries”Note  that, on average, offer lower wages and fewer benefits than jobs in other sectors. In total, the proportion of bachelor graduates from 2010 who obtained an additional short-duration credential between 2013 and 2015 and who worked in low value-added service industries fell from 22.1% two years before obtaining the short-duration credential to 9.9% two years after (Table 5). Similarly, the unionization rate increased by 4.6 percentage points from 37.8% to 42.4% two years before and two years after obtaining the short-duration credential. Also, the rate of participation in a pension plan increased by 16.3 percentage points compared with the periods two years before and two years after obtaining the short-duration credential. The same statistics for the “Bac” group over the same period show that these changes are due mostly to the additional short-duration credential and not only to additional experience in the labour market.


Table 5
Distribution by the industrial sector, the unionization rate and the rate of participation in a pension plan over a five-year period
Table summary
This table displays the results of Distribution by the industrial sector "Bac+" and "Bac", calculated using 2 years before, 2 years after, 2012, 2016 and percent units of measure (appearing as column headers).
"Bac+" "Bac"
2 years before 2 years after 2012 2016
percent
Industrial sector
Goods-producing industries 4.7 6.4 10.5 11.1
Low value-added service industry 22.1 9.9 11.0 8.3
High value-added service industry 30.2 36.6 39.4 38.3
Educational services 9.9 11.6 11.8 12.9
Health care and social assistance 12.8 14.0 9.8 9.2
Public administration 15.1 18.0 12.0 14.0
Unknown 5.2 3.5 5.5 6.1
Unionization rate
Had union contributions 37.8 42.4 35.9 37.7
Had no union contributions 62.2 57.6 64.1 62.3
Rate of participation in a pension plan
Participated in a pension plan 30.2 46.5 37.0 46.3
Did not participate in a pension plan 69.8 53.5 63.0 53.7

Overall, for employment income, there is an increase in employment income for graduates holding an additional short-duration credential between the two points in timeNote . For illustrative purposes, the following results focus on the “Bac+” group who obtained their short-duration credential in 2013 and the results for the 2014 and 2015 cohorts are available in Appendix B.

Two years before obtaining their additional short-duration credential, graduates in the “Bac+” group began in most fields of study, except for “Health Care”, with a lower median employment income, but obtained a very similar median employment income to the “Bac” group two years after obtaining their short-duration credential. Members of the “Bac+” group thus seem to be catching up to their counterparts in the “Bac” group, although a large number of members in the “Bac+” group interrupted their labour market path by returning to school full-time for at least one year.Note  It is important to note that the fact that lower employment income may be a factor in encouraging graduates to complete an additional short-duration credential.

Analysis of employment income by the field of study of the first educational qualification shows that there is a wide variation in the value added by the additional short-duration credential. For example, in the “Arts and Humanities” field of study, those who obtained their additional short-duration credential in 2013 doubled their employment income (111% increase) between the two periods, while the members of the “Bac” group from the same field of study, had an increase of 58%. Likewise, members of the “Bac+” group in the “Science and technology of science” field of study increased by 75% for the 2013 cohort, compared to 48% for the “Bac” group.

Chart 1 Median employment income by the field of study, two years before and two years after obtaining their additional short-duration credential for the “Bac+” group, and over a five-year period for the “Bac” group

Data table for Chart 1 
Data table for Chart 1
Table summary
This table displays the results of Data table for Chart 1 Science and science technology, Business and administration, Arts and humanities, Social and behavioural sciences, Health care, Education and teaching, Bac and Bac+, calculated using 2017 constant dollars units of measure (appearing as column headers).
Science and science technology Business and administration Arts and humanities Social and behavioural sciences Health care Education and teaching
Bac Bac+ Bac Bac+ Bac Bac+ Bac Bac+ Bac Bac+ Bac Bac+
2017 constant dollars
2 years before 34,400 27,200 42,100 30,200 26,200 18,800 31,300 20,300 65,700 67,300 38,500 33,700
2 years after 51,000 47,700 62,400 53,700 41,300 39,700 48,300 43,300 71,600 74,400 51,000 47,200
Growth 16,600 20,500 20,300 23,500 15,100 20,900 17,000 23,000 5,900 7,100 12,500 13,500
Gap in growth ("Bac+" vs. "Bac") Note ...: not applicable 3,900 Note ...: not applicable 3,200 Note ...: not applicable 5,800 Note ...: not applicable 6,000 Note ...: not applicable 1,200 Note ...: not applicable 1,000

5. Employment income progression

The income progression between 2011 and 2017 for both groups was examined further by dividing their income into quartiles. The top 25% of earners are categorized in Q4 while the lowest 25% of earners are categorized in Q1.

As shown in Table 6, the 2011 employment income distribution shows that nearly 72% of the members of the “Bac+” group are found in the two lower quartile comparatively to 49% for graduates with no additional educational qualification. However, in 2017, the gap had narrowed significantly as those proportions had reached 64.2% and 49.2% respectively.


Table 6
Distribution of the “Bac” and “Bac+” group by their revenue quartile in 2011 and in 2017
Table summary
This table displays the results of Distribution of the “Bac” and “Bac+” group by their revenue quartile in 2011 and in 2017. The information is grouped by Group (appearing as row headers), Year, Revenue Quartile and percent, calculated using Q1, Q2, Q3 and Q4 units of measure (appearing as column headers).
Group Year Revenue Quartile
percent
Q1 Q2 Q3 Q4
"Bac" 2011 23.9 24.9 25.6 25.6
2017 24.8 24.4 25.2 25.6
"Bac+" 2011 45.4 26.4 14.5 13.8
2017 27.8 36.4 21.9 13.9

To measure the return on investment of the short-duration credential, we analyze the evolution of the employment income of members of the “Bac” and “Bac+” groups by comparing how graduates of the two groups progressed within the income quartiles between 2011 and 2017 (see table 7). This method consists in marking individuals in each quartile to track them over time.


Table 7
Quartile transition matrix of the “Bac” and “Bac+” groups between 2011 and 2017
Table summary
This table displays the results of Quartile transition matrix of the “Bac” and “Bac+” groups between 2011 and 2017 2017 (appearing as column headers).
2017
Quartile
2011
Group Counts Q1 Q2 Q3 Q4
Number percent
Q1 "Bac+" 725 37.4 41.9 16.3 4.4
"Bac" 7,155 45.4 29.8 17.0 7.9
Q2 "Bac+" 420 22.0 41.0 22.5 14.5
"Bac" 7,460 27.4 35.4 25.1 12.1
Q3 "Bac+" 230 19.9 32.5 29.9 17.7
"Bac" 7,650 15.9 22.9 33.8 27.4
Q4 "Bac+" 220 15.9 13.2 30.9 40.0
"Bac" 7,660 12.2 10.1 24.2 53.5

To show that the additional short-duration credential had a positive impact on the income progression between 2011 and 2017 for the “Bac+” group comparatively to the “Bac” group, a test of independence was performed at each level of pre-results (quartiles of 2011) and the post-results (income quartiles of 2017). This analysisNote  made it possible to affirm that a positive impact on employment income happened after the completion of an additional short-duration credential for the graduate with employment income mostly for those who were situated in the two lower quartiles.

Chart 2 Mean employment income in 2017 (7 years after earning the undergraduate degree) for the “Bac” and “Bac+” groups by field of study

Data table for Chart 2 
Data table for Chart 2
Table summary
This table displays the results of Data table for Chart 2 "Bac+" and "Bac", calculated using 2017 constant dollars units of measure (appearing as column headers).
"Bac+" "Bac"
2017 constant dollars
Science and science technology 57,700 55,400
Engineering and engineering technology 73,900 89,000
Mathematics and computer and information science 53,900 81,600
Business and administration 67,900 73,600
Arts and humanities 48,600 46,200
Social and behavioural sciences 51,600 54,000
Legal professions and studies 52,800 65,800
Health care 68,600 64,200
Education and teaching 50,300 51,000
Trades, services, natural resources and conservation 53,400 54,700

Despite the fact that the 2010 graduates who had acquired an additional short-duration credential after their undergraduate degree showed a catch-up in terms of employment earnings distributions, as well as some improvement in conditions of their employment, in comparison with their counterparts who had no additional qualifications, the gap in the average employment income remained after 7 years. A difference in employment income of around 26% was still observable in favour of graduates without additional educational qualifications. This difference does not, however, take into account the differences in demographic and educational characteristics observable between the two groups, which could partly explain this difference.

The difference between the employment incomes of the two groups was broken down using the Blinder-Oaxaca methodNote  in order to quantify the proportion of the difference that can be explained by the differences in the characteristics such as age, gender, province of residence, and the time elapsed between the undergraduate degree and the additional short-duration credential (the composition effect) and the difference that can be attributed to an additional short-duration credential or other unobservable characteristics between the two groups, such as talent, motivation, better language, numeracy and writing skills, to name a few. This decomposition reveals that the difference of 26% is largely explained by the different composition in terms of socio-demographic characteristics such gender, original field of study, province of residence and the level of income the first year after graduation, of the two groups. Thus, 18 of the 26 percentage points (or 69% of the difference between both groups), are attributable to the different demographic and educational characteristics between the two groups, mainly due to the fact that the “Bac” group already earned higher employment income at the starting point.

6. Conclusion

This study shows that among the 102,865 graduates who completed an undergraduate degree in 2010 before the age of 25, 5,370 (5.2%) also completed an additional short-duration credential (certificate or diploma) while 66.3% had not completed further educational qualification six years after the bachelor’s degree. Two thirds (3,555) completed the short-duration credential in college and the remaining third (1,815) at university. Overall, women graduates had a higher propensity to pursue an additional certificate or diploma after their bachelor’s degree, as did those in BHASE (non-STEM) field of study.

This study also shows that graduates who completed an additional short-duration credential (certificate or diploma) saw employment quality indicators improve once their short-duration credential was completed. Indeed, even though graduates who had obtained an undergraduate degree in 2010, but who did not go to school to complete an additional short-duration credential, earned on average more than those who had obtained one additional short-duration credential between 2011 and 2016, those who did complete an additional short-duration credential had higher gains in employment income and an improvement in the level of unionization and participation in a pension plan. The global gap is largely explained by the starting level of employment income of both groups and is narrowed if there are controls for the other factors. For some fields of study, we see a tendency toward increased employment income for those who had an additional short-duration credential, compared with those who entered and remained in the labour market. Thus, graduates who completed an additional short-duration credential saw a greater increase in earnings than their counterparts who did not have additional educational qualifications, and nearly closed the gap.

Further studies could be conducted to understand why those with undergraduate degrees returned to school in non-traditional paths (e.g. obtaining a college diploma). Some factors, such as the school path, average undergraduate grades, availability of jobs in the chosen field of study, and even personal characteristics might lead some graduates to continue their studies.

Aimé Ntwari and Eric Fecteau are analysts with the Section of Special Projects related to postsecondary education, in the Canadian Centre for Education Statistics at Statistics Canada.

7. Bibliography

BLINDER, A. S., “Wage Discrimination: Reduced Form and Structural Estimates”, Journal of Human Resources, vol. 8, no. 4 (1973), 436–455.

BOX, G. E. P. and COX, D. R., “An Analysis of Transformations”, Journal of the Royal Statistical Society, Series B (Methodological), vol. 26, No. 2 (1964), 211-252.

HIDIROGLOU, M. A., and BERTHELOT, J.-M., “Statistical editing and imputation for periodic business surveys”. Survey Methodology, 12 (1986), 73–83.

MORISSETTE, R. “Earnings in the last decade”, Perspectives on Labour and Income. Statistics Canada catalogue No. 75-001-X, Vol. 9 (2008), No. 2.

OAXACA, R., “Male-Female Wage Differentials in Urban Labor Markets”. International Economic Review, vol. 14, no. 3 (1973), 693–709.

STATISTICS CANADA, “Education in Canada: Key results from the 2016 Census”, November 2017.

WILLIAMSON, J. and PITTINSKY, M., “Understanding the differences in what credentials are being stacked and why”, May 2016.

8. Appendix A: Methodology

The Postsecondary Student Information System (PSIS) provides detailed annual information on enrolments and graduations from Canadian public postsecondary institutions (universities and colleges) by the field of study and by certain demographic variables. However, PSIS data do not provide information on the graduate’s labour market outcomes, such as employment income. However, some of this information is available in administrative data sets such as tax data files.

Statistics Canada’s Education and Labour Market Longitudinal Platform (ELMLP) is based on the Postsecondary Student Information System (PSIS), the Registered Apprenticeship Information System (RAIS) and tax data from the T1 Family File (T1FF). Note that other data sets are also available in the Platform to fill gaps in data and provide a better understanding of the pathways of students and apprentices, their transitions to the labour market and outcomes over time.

The current study uses PSIS and tax data to present results for the 2010 cohort of bachelor’s degree graduates. The class of 2010 is the first available series with sufficient quality in terms of coverage and very low potential bias in linkage to tax information. The analysis focuses on individuals who earned a bachelor’s degree before the age of 25 to approximate a cohort of students who earned their first bachelor’s degree in order to adjust for educational qualifications possibly earned earlier by older age groups.

Educational qualification is derived by combining two Postsecondary Student Information System (PSIS) variables: program type and credential type. Note that Medicine, Dentistry, Veterinary medicine, Optometry, Pharmacy and Law degrees reported as “Undergraduate degrees” or “Post-baccalaureate non-graduate degrees” are regrouped as “Professional degrees.” “Post-baccalaureate non-graduate degrees” in the fields of Education and Social work are regrouped with “Undergraduate degrees”. For more information, consult the Classification of programs and credentials - professional degree variant.

Employment quality indicators

Employment quality indicators available in the ELMLP include industrial sector, unionization rate, and the rate of participation in a private pension plan. They are sourced from income tax return data contained in the T1 Family File (T1FF). Industries are defined using the North American Industry Classification System (NAICS) for Canada (for more information, see Statistics Canada’s industry classification). This article identifies the main industry of wage-earners as the industry on the T4 slip with the highest wages and salaries (Box 14 for the T4 slip). The industry can be derived using the employer information on the T4 slip for most wage-earners. In addition, with income tax data, it is possible to determine the approximate rate of unionization using the proportion of graduates who reported union dues (line 212 of the T1 form). Also, the number of graduates participating in a private pension plan can be estimated using the proportion of graduates reporting contributions to a registered pension plan (line 207 of the T1 form).

In order to be able to assess these measures two years before and two years after the short-duration credential, we focus on a sub-group of the “Bac+” group who obtained their second qualification in 2013, 2014 or 2015. A period of two years was chosen since programs leading to short-duration credentials are typically between one and two years in duration. This allows for comparison of this group of graduates just before they start the program leading to their second credential and just after they return to the labour market.

Median and mean employment income

“Salaries, wages and commissions”, also called “employment income”, includes employment pay and commissions, as indicated on the T4 information slips, training allowances, tips, gratuities and royalties. It also includes tax-exempt employment income earned by registered Indians. Any form of self-employment income is excluded. The elements of employment income are salaries and wages (line 101 on the T1 form), other employment income (line 104 of the T1 form) and Indian exempt income (derived from information provided on the Determination of Exemption of an Indian’s Employment Income form).

The median employment income analysis (and the mean in Appendix B) of the members of the “Bac+” group, who obtained a short-duration credential in 2013 (in the text) or in 2014 and 2015 (in Appendix B) is done individually to allow for a comparison with a comparison group from the “Bac” group. For example, the members of the “Bac+” group who obtained their short-duration credential in 2013 are compared to the comparison group (the “Bac” group) in 2011 (two years before) and in 2015 (two years after), even if the comparison group did not obtain a short-duration credential during the period. The same type of analysis and comparison is done for the “Bac+” group who obtained their short-duration credential in 2014 and in 2015.

Blinder-Oaxaca decomposition

The variables retained in the model are the field of study associated with the undergraduate degree, gender, and a binary variable indicating whether a graduate took full-time studies after obtaining a degree. The Box-Cox transformationNote  of the endogenous variable was needed to better adjust the model to the data. The natural logarithm of the employment earnings was used as an endogenous variable. In addition, to reduce the influence of extreme values on the model, the outlier variables were detected and processed using the Hidiroglou-Berthelot method.Note  This method examines the distribution of the values of the given variable and identifies the values that exceed a certain threshold as outliers. The threshold value was calculated as follows for each field of study:  H B bound = Q 2 +25*( Q 3 Q 2 ) MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 qacaGGGcGaamisaiaadkeapaWaaSbaaSqaa8qacaWGIbGaam4Baiaa dwhacaWGUbGaamizaaWdaeqaaOWdbiabg2da9iaadgfapaWaaSbaaS qaa8qacaaIYaaapaqabaGcpeGaey4kaSIaaGOmaiaaiwdacaGGQaWa aeWaa8aabaWdbiaadgfapaWaaSbaaSqaa8qacaaIZaaapaqabaGcpe GaeyOeI0Iaamyua8aadaWgaaWcbaWdbiaaikdaa8aabeaaaOWdbiaa wIcacaGLPaaaaaa@4AAD@ where   Q 2 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 qacaGGGcGaamyua8aadaWgaaWcbaWdbiaaikdaa8aabeaaaaa@3927@ and Q 3 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 qacaWGrbWdamaaBaaaleaapeGaaG4maaWdaeqaaaaa@3804@ are the median and the third quartile, respectively.

The employment income gaps between individuals in the “Bac” group and those in the “Bac+” group for the “employment income” variable were decomposed using the Blinder-Oaxaca method:

Y j = X j β j + ε j ,  E( ε j )=0,  j { Bac,Ba c +    } MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 qacaWGzbWdamaaBaaaleaapeGaamOAaaWdaeqaaOWdbiabg2da9iaa dIfapaWaaSbaaSqaa8qacaWGQbaapaqabaGcpeGaeqOSdi2damaaBa aaleaapeGaamOAaaWdaeqaaOWdbiabgUcaRiabew7aL9aadaWgaaWc baWdbiaadQgaa8aabeaak8qacaGGSaGaaiiOaiaacckacaWGfbWaae Waa8aabaWdbiabew7aL9aadaWgaaWcbaWdbiaadQgaa8aabeaaaOWd biaawIcacaGLPaaacqGH9aqpcaaIWaGaaiilaiaacckacaGGGcGaam OAaiabgIGiolaacckadaGadaWdaeaapeGaamOqaiaadggacaWGJbGa aiilaiaadkeacaWGHbGaam4ya8aadaahaaWcbeqaa8qacqGHRaWkaa GccaGGGcGaaiiOaaGaay5Eaiaaw2haaaaa@5EFB@

The difference between the means R= Y ¯ Bac Y ¯ Ba c + = X ¯ Bac β ^ Bac X ¯ Ba c + β ^ Ba c + MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 qacaWGsbGaeyypa0Jabmywa8aagaqeamaaBaaaleaapeGaamOqaiaa dggacaWGJbaapaqabaGcpeGaeyOeI0Iabmywa8aagaqeamaaBaaale aapeGaamOqaiaadggacaWGJbWdamaaCaaameqabaWdbiabgUcaRaaa aSWdaeqaaOWdbiabg2da9iqadIfapaGbaebadaWgaaWcbaWdbiaadk eacaWGHbGaam4yaaWdaeqaaOWdbiqbek7aI9aagaqcamaaBaaaleaa peGaamOqaiaadggacaWGJbaapaqabaGcpeGaeyOeI0Iabmiwa8aaga qeamaaBaaaleaapeGaamOqaiaadggacaWGJbWdamaaCaaameqabaWd biabgUcaRaaaaSWdaeqaaOWdbiqbek7aI9aagaqcamaaBaaaleaape GaamOqaiaadggacaWGJbWdamaaCaaameqabaWdbiabgUcaRaaaaSWd aeqaaaaa@57D6@ can be decomposed into three factors R= ( X ¯ Bac X ¯ Ba c + ) , β ^ Ba c + +  X ¯ , Ba c + ( β ^ Bac β ^ Ba c + )+  ( X ¯ Bac X ¯ Ba c + ) ,  ( β ^ Bac β ^ Ba c + ) MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 qacaWGsbGaeyypa0ZaaeWaa8aabaWdbiqadIfapaGbaebadaWgaaWc baWdbiaadkeacaWGHbGaam4yaaWdaeqaaOWdbiabgkHiTiqadIfapa GbaebadaWgaaWcbaWdbiaadkeacaWGHbGaam4ya8aadaahaaadbeqa a8qacqGHRaWkaaaal8aabeaaaOWdbiaawIcacaGLPaaapaWaaWbaaS qabeaapeGaaiilaaaakiqbek7aI9aagaqcamaaBaaaleaapeGaamOq aiaadggacaWGJbWdamaaCaaameqabaWdbiabgUcaRaaaaSWdaeqaaO WdbiabgUcaRiaacckaceWGybWdayaaraWaaWbaaSqabeaapeGaaiil aaaak8aadaWgaaWcbaWdbiaadkeacaWGHbGaam4ya8aadaahaaadbe qaa8qacqGHRaWkaaaal8aabeaak8qadaqadaWdaeaapeGafqOSdi2d ayaajaWaaSbaaSqaa8qacaWGcbGaamyyaiaadogaa8aabeaak8qacq GHsislcuaHYoGypaGbaKaadaWgaaWcbaWdbiaadkeacaWGHbGaam4y a8aadaahaaadbeqaa8qacqGHRaWkaaaal8aabeaaaOWdbiaawIcaca GLPaaacqGHRaWkcaGGGcWaaeWaa8aabaWdbiqadIfapaGbaebadaWg aaWcbaWdbiaadkeacaWGHbGaam4yaaWdaeqaaOWdbiabgkHiTiqadI fapaGbaebadaWgaaWcbaWdbiaadkeacaWGHbGaam4ya8aadaahaaad beqaa8qacqGHRaWkaaaal8aabeaaaOWdbiaawIcacaGLPaaapaWaaW baaSqabeaapeGaaiilaaaakiaacckadaqadaWdaeaapeGafqOSdi2d ayaajaWaaSbaaSqaa8qacaWGcbGaamyyaiaadogaa8aabeaak8qacq GHsislcuaHYoGypaGbaKaadaWgaaWcbaWdbiaadkeacaWGHbGaam4y a8aadaahaaadbeqaa8qacqGHRaWkaaaal8aabeaaaOWdbiaawIcaca GLPaaaaaa@7D7E@ , the differences between exogenous factors, the difference between coefficients and an interaction term between the two, respectively.

  Y ¯ MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 qacaGGGcGabmywa8aagaqeaaaa@383F@ : Mean of the square root of employment income

X ¯ MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 qaceWGybWdayaaraaaaa@371B@ : Vector of regressors mean

This decomposition can also be written as: R= ( X ¯ Bac X ¯ Ba c + ) , β * + [ X ¯ , Bac ( β ^ Bac β * )+   X ¯ , Ba c + ( β * β ^ Ba c + ) ] MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 qacaWGsbGaeyypa0ZaaeWaa8aabaWdbiqadIfapaGbaebadaWgaaWc baWdbiaadkeacaWGHbGaam4yaaWdaeqaaOWdbiabgkHiTiqadIfapa GbaebadaWgaaWcbaWdbiaadkeacaWGHbGaam4ya8aadaahaaadbeqa a8qacqGHRaWkaaaal8aabeaaaOWdbiaawIcacaGLPaaapaWaaWbaaS qabeaapeGaaiilaaaakiabek7aI9aadaahaaWcbeqaa8qacaGGQaaa aOGaey4kaSIaaiiOamaadmaapaqaa8qaceWGybWdayaaraWaaWbaaS qabeaapeGaaiilaaaak8aadaWgaaWcbaWdbiaadkeacaWGHbGaam4y aaWdaeqaaOWdbmaabmaapaqaa8qacuaHYoGypaGbaKaadaWgaaWcba WdbiaadkeacaWGHbGaam4yaaWdaeqaaOWdbiabgkHiTiabek7aI9aa daahaaWcbeqaa8qacaGGQaaaaaGccaGLOaGaayzkaaGaey4kaSIaai iOaiaacckaceWGybWdayaaraWaaWbaaSqabeaapeGaaiilaaaak8aa daWgaaWcbaWdbiaadkeacaWGHbGaam4ya8aadaahaaadbeqaa8qacq GHRaWkaaaal8aabeaak8qadaqadaWdaeaapeGaeqOSdi2damaaCaaa leqabaWdbiaacQcaaaGccqGHsislcuaHYoGypaGbaKaadaWgaaWcba WdbiaadkeacaWGHbGaam4ya8aadaahaaadbeqaa8qacqGHRaWkaaaa l8aabeaaaOWdbiaawIcacaGLPaaaaiaawUfacaGLDbaaaaa@6F0F@ , the part explained and the part not explained by the model, respectively.

Where β * MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 qacqaHYoGypaWaaWbaaSqabeaapeGaaiOkaaaaaaa@38B2@ is a set of reference coefficients. The Oaxaca and Blinder method proposes: β * = β ^ Bac  and  β * = β ^ Ba c + MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 qacqaHYoGypaWaaWbaaSqabeaapeGaaiOkaaaakiabg2da9iqbek7a I9aagaqcamaaBaaaleaapeGaamOqaiaadggacaWGJbaapaqabaGcpe GaaiiOaiaadggacaWGUbGaamizaiaacckacqaHYoGypaWaaWbaaSqa beaapeGaaiOkaaaakiabg2da9iqbek7aI9aagaqcamaaBaaaleaape GaamOqaiaadggacaWGJbWdamaaCaaameqabaWdbiabgUcaRaaaaSWd aeqaaaaa@4D0B@ i.e. choose as basic average income in the model what a member of the “Bac” group would have received when submitted to the conditions of someone in the “Bac+” group, or vice versa.

9. Appendix B


Table B1
Median employment income of the “Bac” and “Bac+” group by the year in which the short-duration credential was obtained and the field of study, two years before and two years after their additional short-duration credential
Table summary
This table displays the results of Median employment income of the “Bac” and “Bac+” group by the year in which the short-duration credential was obtained and the field of study 2013, 2014, 2015, "Bac" and "Bac+", calculated using 2017 constant dollars units of measure (appearing as column headers).
2013 2014 2015
"Bac" "Bac+" "Bac" "Bac+" "Bac" "Bac+"
2017 constant dollars
Science and science technology 2 years before 34,400 27,200 41,000 18,000 44,500 X
2 years after 51,000 47,700 54,200 46,900 57,700 X
Engineering and engineering technology 2 years before 59,200 X 66,900 X 72,600 X
2 years after 81,500 X 82,600 X 87,600 X
Mathematics and computer and information science 2 years before 48,200 X 54,700 X 60,900 X
2 years after 69,800 X 74,500 X 77,600 X
Business and administration 2 years before 42,100 30,200 48,000 45,900 53,600 45,000
2 years after 62,400 53,700 65,500 57,100 70,300 55,400
Arts and humanities 2 years before 26,200 18,800 31,500 18,400 35,700 25,100
2 years after 41,300 39,700 43,700 38,000 46,700 50,400
Social and behavioural sciences 2 years before 31,300 20,300 37,800 26,000 42,100 31,500
2 years after 48,300 43,300 50,900 41,400 54,100 43,200
Legal professions and studies 2 years before 31,700 X 40,100 X 43,900 X
2 years after 55,100 X 57,000 X 59,700 X
Health care 2 years before 65,700 67,300 68,200 68,600 69,700 66,500
2 years after 71,600 74,400 71,900 78,500 71,600 65,200
Education and teaching 2 years before 38,500 33,700 43,800 X 47,800 40,900
2 years after 51,000 47,200 53,100 X 55,100 55,700
Trades, services, natural resources and conservation 2 years before 38,600 X 44,500 X 48,200 X
2 years after 51,900 X 54,000 X 55,400 X

Table B2
Mean employment income of the “Bac” and “Bac+” group by the year in which the short-duration credential was obtained and the field of study, two years before and two years after their additional short-duration credential
Table summary
This table displays the results of Mean employment income of the “Bac” and “Bac+” group by the year in which the short-duration credential was obtained and the field of study 2013, 2014, 2015, "Bac" and "Bac+", calculated using 2017 constant dollars units of measure (appearing as column headers).
2013 2014 2015
"Bac" "Bac+" "Bac" "Bac+" "Bac" "Bac+"
2017 constant dollars
Science and science technology 2 years before 35,600 30,900 41,600 24,100 X X
2 years after 52,100 45,400 54,500 47,800 X X
Engineering and engineering technology 2 years before X X X X X X
2 years after X X X X X X
Mathematics and computer and information science 2 years before X X X X X X
2 years after X X X X X X
Business and administration 2 years before 41,700 28,600 49,000 43,000 55,600 45,100
2 years after 65,900 53,100 69,200 60,100 75,200 57,700
Arts and humanities 2 years before 27,000 20,600 31,600 23,900 35,600 28,300
2 years after 41,000 37,900 43,700 36,200 47,500 49,100
Social and behavioural sciences 2 years before 31,600 23,400 37,300 26,100 41,900 32,400
2 years after 48,700 44,500 51,200 41,400 55,300 45,100
Legal professions and studies 2 years before X X X X X X
2 years after X X X X X X
Health care 2 years before 61,000 59,100 63,600 66,700 64,100 59,800
2 years after 64,800 71,100 64,700 76,200 65,000 62,500
Education and teaching 2 years before 37,800 31,400 42,000 40,700 44,800 39,900
2 years after 47,500 44,300 49,100 52,200 51,000 51,800
Trades, services, natural resources and conservation 2 years before 38,000 26,500 X X X X
2 years after 51,400 39,400 X X X X

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